tracylamv2, Author at Version 2 Limited

ESET named a Market Leader in KuppingerCole Analysts’ 2026 Leadership Compass for Managed Detection & Response

BRATISLAVA — June 17, 2026 —ESET, a global leader in cybersecurity, is proud to be recognized as a Market Leader in the KuppingerCole Analysts’ 2026 Leadership Compass for Managed Detection & Response (MDR). The report evaluates leading vendors delivering advanced threat detection, investigation, and response services.

The report highlights ESET’s solid global coverage and growing MDR footprint, alongside strengths including “Fast automated response and containment, mature threat intelligence and research capability, and multilingual support across many regions.” KuppingerCole Analysts also note that “ESET concentrates innovation in ESET PROTECT MDR on usability and automation.”

“Organizations today require continuous monitoring and rapid, accurate response to evolving threats,” said Michal Jankech, Vice President, Enterprise & SMB/MSP at ESET. “We are proud to be recognized by KuppingerCole as a Market Leader in MDR. This acknowledgment reinforces our commitment to delivering affordable, high-quality MDR services that combine cutting-edge technology with human expertise, helping organizations stay resilient and detect and respond to cyber threats quickly and effectively.”

ESET’s MDR offering, ESET PROTECT MDR, combines 24/7 monitoring, threat hunting, rapid response, and advanced analytics within a unified platform. The service is designed to help organizations of all sizes strengthen resilience against evolving cyber threats while simplifying security operations.

The Leadership Compass evaluates vendors across multiple dimensions, including product capabilities, innovation, and market presence. It emphasizes the importance of delivering measurable security outcomes, such as reduced mean time, to detect and respond, while supporting customers with managed or co-managed security operations models

With cyber threats targeting endpoints, cloud environments, identities, and applications, organizations are increasingly turning to MDR providers for unified visibility and coordinated defense. The report highlights how MDR solutions have evolved to integrate capabilities such as XDR, SIEM, SOAR, and identity threat detection, enabling more efficient and proactive security operations.

With ongoing investment in automation, AI-assisted analysis, and threat intelligence, ESET continues to enhance its MDR capabilities and deliver measurable improvements in detection speed, response effectiveness, and overall security posture for customers worldwide.

Discover more about the ESET PROTECT MDR.

See what industry analysts, independent tests, and IT professionals are saying about ESET and its solutions.

About ESET
For 30 years, ESET® has been developing industry-leading IT security software and services for businesses and consumers worldwide. With solutions ranging from endpoint security to encryption and two-factor authentication, ESET’s high-performing, easy-to-use products give individuals and businesses the peace of mind to enjoy the full potential of their technology. ESET unobtrusively protects and monitors 24/7, updating defenses in real time to keep users safe and businesses running without interruption. Evolving threats require an evolving IT security company. Backed by R&D facilities worldwide, ESET became the first IT security company to earn 100 Virus Bulletin VB100 awards, identifying every single “in-the-wild” malware without interruption since 2003.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

ESET 2026

Architecting DNS Privacy: The Technical Imperative of Encrypted Resolvers

Securing the Network’s First Mile

A Security Engineer’s Guide to DNS Encryption Protocols, Corporate Visibility Tradeoffs, and Exposure Mitigation

Executive Summary: Modern network engineering can no longer tolerate plaintext DNS lookups. Encrypted DNS traffic wraps traditional domain resolution in cryptographic layers, systematically blinding external observers—such as ISPs, public network operators, and local threat actors—from mapping an organization’s digital footprint and tracking user destination pathways.

The Structural Vulnerability of Plaintext Resolution

The Domain Name System (DNS) operates as the foundational directory of the internet, mapping human-readable hostnames to routable IP addresses. Because the protocol was architected before modern threat landscapes emerged, traditional DNS inquiries travel over the wire completely unencrypted. This design flaw allows any intermediate routing entity or malicious actor positioned within the transit path to passively eavesdrop on browsing patterns, log metadata, or actively manipulate lookup data.

Enforcing cryptographic controls on DNS interactions has shifted from an optional privacy enhancement to a core requirement of corporate defense. This guide outlines how secure DNS operations execute, contrasts dominant deployment protocols, and balances the trade-off between user data protection and corporate traffic visibility.

The Encrypted Lookup Loop

Cryptographic DNS operations run silently beneath the application layer, shielding transactions without altering downstream web performance:

Application Trigger: The user inputs a destination hostname or an API client initializes a web call, prompting the local operating system to request a destination IP mapping.
Client-Side Cryptography: Rather than blasting a raw UDP packet into the local network, the client-side stub resolver encrypts the query before it reaches the network interface card (NIC).
Transit Isolation: The protected request transits local routers and upstream internet service providers safely. Eavesdroppers only observe generic cryptographic traffic routed to a designated resolver, keeping the target domain hidden.
Resolver Processing: A secure, compatible upstream DNS resolver ingests the packet, decrypts the payload, validates the request, and fetches the matching IP configuration.
Secure Return Payload: The resolver wraps the resolved IP mapping back into the designated cryptographic protocol and transmits it back to the client device.
Session Initialization: The local operating system receives the authenticated payload, decrypts the record, passes the IP address back to the application layer, and launches the target web connection normally.

Strategic Drivers for Corporate DNS Hardening

Deploying robust DNS encryption mitigates risk across five distinct operational vectors:

Eliminating DNS Spoofing and Cache Poisoning: Cryptographic validation prevents attackers from intercepting transit streams to alter lookup tables, misdirect users to phishing sites, or execute adversary-in-the-middle (AiTM) compromises.
Protecting Untrusted and Public Infrastructure: Remote employees frequently operate from unmanaged home networks or unsecured public Wi-Fi hotspots. DNS encryption isolates corporate navigation data from local eavesdropping and Wi-Fi data-harvesting operations.
Hardening Distributed and Remote Workspaces: Encrypted resolvers allow enterprise security teams to enforce uniform metadata protection rules globally, ensuring remote devices maintain equivalent privacy controls outside the physical office perimeter.
Neutralizing Traffic Profiling and Surveillance: Third-party entities routinely log unencrypted DNS transactions to build commercial behavioral profiles or enforce unauthorized traffic filtering. Encryption keeps internal corporate data patterns fully confidential.

Dissecting Modern DNS Encryption Protocols

Enterprise teams typically evaluate four core cryptographic architectures to secure their domain traffic, each presenting distinct trade-offs regarding infrastructure visibility and port management:

1. DNS over HTTPS (DoH) – RFC 8484

DoH encapsulates DNS lookups inside standard TLS-encrypted HTTP/2 or HTTP/3 streams, routing transactions across Port 443. Because this traffic blends directly with mainstream web traffic, security administrators cannot easily separate or block DoH data streams without deploying aggressive deep-packet inspection (DPI) proxies. This protocol delivers exceptional privacy on public networks and enjoys widespread, native integration across modern web browsers and major operating systems.

2. DNS over TLS (DoT) – RFC 7858

DoT decouples domain resolution from general web applications by executing raw TLS tunnels over a dedicated communication pathway, specifically Port 853. This separation allows network engineers and security monitoring tools to easily isolate, audit, and log secure DNS transactions. Because it preserves administrative oversight while delivering enterprise-grade encryption, DoT is often the preferred choice for centralized corporate network infrastructure.

3. DNSCrypt

An independent, open-source cryptographic framework that authenticates and encrypts DNS transactions natively between local clients and upstream resolvers. DNSCrypt introduces unique cryptographic signatures to completely eliminate data tampering and server spoofing. While popular in privacy-first deployments, it lacks the broad native operating system support enjoyed by DoH and DoT, often requiring custom agent installations.

4. Oblivious DNS over HTTPS (ODoH) – RFC 9230

ODoH upgrades standard DoH by introducing a decoupled proxy tier between the local endpoint and the target DNS resolver. The intermediary proxy handles the user’s source IP address but cannot read the encrypted query payload. Conversely, the destination resolver decrypts and processes the query but only sees the network footprint of the proxy. This dual-blind architecture ensures no single entity can cross-reference user identity with web navigation history.

Protocol Comparison Matrix

Selecting the optimal architecture requires matching organizational visibility requirements with platform compatibility goals:

Protocol Feature	DNS over HTTPS (DoH)	DNS over TLS (DoT)	DNSCrypt	Oblivious DoH (ODoH)
Cryptographic Layer	HTTP/TLS (HTTPS)	Native TLS	Custom Cryptography	HTTPS + Decoupled Proxy
Network Port Assignment	Port 443	Port 853	Variable / Dynamic	Port 443
Administrative Visibility	Minimal (Blends into Web)	High (Isolated Port)	Moderate	Zero (Dual-Blinded)
Inbound Firewall Blocking	Extremely Difficult	Straightforward	Moderate	Extremely Difficult
Primary Target Use Case	Browsers and Local Apps	Core Network Routing	Privacy-First Sandboxes	High-Anonymity Sectors

Implementation Complexities and Visibility Limitations

While DNS encryption provides substantial privacy advantages, engineers must account for several structural challenges during deployment:

Enterprise Visibility Friction: Masking DNS requests can inadvertently blind local security tools, such as SIEM platforms and internal network firewalls, disrupting routine traffic troubleshooting and early threat detection.
Policy Enforcing Gaps: Organizations relying on simple DNS-layer filtering to block unauthorized or malicious categories may struggle to enforce these policies if client applications use third-party encrypted resolvers to bypass internal controls.
The Scope Misconception: DNS encryption secures the initial hostname lookup phase only. It does not encrypt subsequent application traffic, conceal SNI (Server Name Indication) fields during standard TLS handshakes, or mask the destination IP routing details exposed at the packet layer.

Unified Defense: Strengthening DNS Controls with NordLayer

Achieving a balanced security posture requires pairing DNS encryption with intelligent content filtering and web protection layers. Deploying encryption in a vacuum protects data in transit but does not prevent users from resolving known malicious destinations or interacting with active phishing infrastructure.

NordLayer addresses this visibility gap by integrating secure DNS management with active corporate edge defenses. Its advanced DNS filtering controls allow administrators to define strict domain access rules globally, while inline web protection tools automatically block malicious sites before application connections are established.

By pairing core DNS encryption protocols with centralized policy management, NordLayer helps organizations protect remote teams and cloud environments effectively. This combined approach reduces risk exposure on untrusted networks while giving security administrators the visibility needed to manage threats across distributed teams.

About Nord Security
The web has become a chaotic space where safety and trust have been compromised by cybercrime and data protection issues. Therefore, our team has a global mission to shape a more trusted and peaceful online future for people everywhere.

About NordLayer
NordLayer is an adaptive network access security solution for modern businesses – from the world’s most trusted cybersecurity brand, Nord Security.

The web has become a chaotic space where safety and trust have been compromised by cybercrime and data protection issues. Therefore, our team has a global mission to shape a more trusted and peaceful online future for people everywhere.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

The Exploit Speed Threat: Why Signature-Based Vulnerability Scanning Has Failed

The Collapse of the Vulnerability Patch Window

How AI-Accelerated Exploitation Left Traditional Signature Scanners Behind

The Real-World Reality: The Cogent Q2 2026 Detection Gap Report confirms a structural break in defensive operations: adversary exploit code development has officially outpaced the update pipelines of traditional, signature-reliant vulnerability scanners. Securing enterprise environments now requires shifting from retroactive scanning to continuous asset exposure management.

The Mathematics of the Detection Gap

Historically, enterprise IT teams counted on a reliable operational window. In early 2025, defenders could expect an average four-month runway between a vulnerability disclosure and the appearance of a functional exploit in the wild. This buffer allowed security vendors to construct detection signatures, deploy catalog updates, and give enterprises time to run network scans and clear active backlogs. That grace period has vanished.

To quantify this collapse, Cogent analyzed 69,159 CVEs published between January 2025 and April 2026. Their researchers mapped out three precise data points for each vulnerability: publication date, active exploit availability, and the release date of corresponding scanner signatures from legacy vendors (including Tenable, Qualys, and Rapid7).

55.7%

Of critical vulnerabilities never received any scanner signature at all

62.0%

Of covered vulnerabilities had active exploits circulating BEFORE a signature was shipped

83.2%

Of observed critical risks were completely unaddressed or exploited before scanner coverage arrived

“Scanner coverage lags exploits, or is absent entirely, for more than four out of five critical vulnerabilities.”

Why Legacy Scanners Fail Against AI-Driven Attack Pathways

The core catalyst for this paradigm shift is the widespread use of automated, AI-assisted exploit engineering by threat actors. This automation has compressed the timeline required to weaponize a vulnerability down to hours or minutes following initial disclosure.

Furthermore, legacy tools are hindered by their narrow scope. While the median turnaround time to publish a signature for a supported vulnerability stands at 2.7 days, legacy platforms focus almost entirely on mainstream corporate software suites. This creates blindspots in enterprise networks, leaving a long tail of unmonitored infrastructure completely uncovered—including edge routers, IoT devices, and specialized open-source code repositories.

The Paradigm Shift: From Probing to Pre-Calculated Asset Queries

Because reactive, signature-dependent probing cannot keep pace with modern exploit speed, a strategy shift is necessary. Survival depends on maintaining a dynamic, single source of truth for exposure management that removes signatures from the equation entirely.

This reality underpins the engineering design of runZero. Traditional scanners must actively push targeted probes across networks, hunting for specific, isolated CVE conditions. runZero works in reverse: by establishing an ultra-precise, continuously updating inventory of every network asset, it eliminates the need to run emergency network rescans when a fresh zero-day drops. Instead, you simply query the comprehensive data matrix you already possess.

Comparing Network Defense Philosophies

Defensive Capability	Legacy Vulnerability Platforms	The runZero Approach
Zero-Day Response Timeline	Days or weeks spent waiting for specialized vendor signature engineering.	Immediate; direct asset query generation happens the same day a threat is disclosed.
Network Footprint and Impact	Heavy, disruptive network scans required to verify the presence of single CVEs.	Passive or non-authenticated queries run against a pre-existing, live asset inventory.
Sub-Gateway Infrastructure	Stops tracing at the primary IP address of protocol gateways.	Walks the device backplane (e.g., Modbus, BACnet) to reveal all hidden downstream hardware risks.

Continuous Attestation and Risk Prioritization

When an urgent zero-day occurs, runZero’s research team identifies the unique structural characteristics and digital fingerprints of the targeted hardware, software, or firmware. This information is pushed directly to your console as an instant asset query. Within seconds, security teams can search their existing environment data to pinpoint exactly where the vulnerable software or component resides, which business unit controls it, and whether it faces the public internet.

This approach transitions defensive operations away from the reactive, endless loop of “does this machine have this specific CVE signature applied?” and shifts focus toward a proactive, strategic question: “what are my reachable exposures, and how can an attacker abuse them?”

With the release of version 4.9, runZero introduces advanced attack path mapping. This maps out the specific paths of least resistance an attacker would take to compromise your high-value assets, instantly exposing network segmentation flaws and unintended bypass routing before an exploit code drop occurs. By combining deep fingerprinting with continuous exposure tracking, defenders can neutralize AI-accelerated threats by default.

About runZero
runZero, a network discovery and asset inventory solution, was founded in 2018 by HD Moore, the creator of Metasploit. HD envisioned a modern active discovery solution that could find and identify everything on a network–without credentials. As a security researcher and penetration tester, he often employed benign ways to get information leaks and piece them together to build device profiles. Eventually, this work led him to leverage applied research and the discovery techniques developed for security and penetration testing to create runZero.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

2026 runZero

According to KuppingerCole Analysts, we’re amongst the leaders in MDR!

ESET named a Market Leader in MDR

We are pleased to announce that our ESET MDR solution was positively evaluated in the latest MDR Leadership Compass by the leading industry analysts KuppingerCole. ESET MDR has received recognition as a MARKET LEADER in the field of Managed Detection & Response.

It makes us proud when ESET solutions are appreciated not only by our customers, but also by leading industry analysts. To gain valuable insights into the MDR market we encourage you to read the full report.

Overall evaluation of ESET PROTECT MDR

What are the strengths of ESET MDR services according to
KuppingerCole Analysts?

Fast automated response and containment
AI-assisted investigation through ESET AI Advisor
Mature threat intelligence and research capability
Good customer visibility into incident timelines
Built-in SOAR and automated remediation actions
Vulnerability and patch management included
Ability to discover and monitor shadow IT
Multilingual support across many regions
Ransomware prevention and rollback technology

ESET Managed Detection and Response

Provides 24/7 cybersecurity protection, combining cutting-edge AI
with human expertise to create a solution that never rests.

edm e-newsletter 2026

Modern Compliance Governance: A Tactical Blueprint for Security & IT Architects

The Engineering Approach to Compliance ManagementA Practical Security and IT Roadmap for Transforming Regulatory Obligations into Continuous Operational Controls

Operational Overview: Enterprise compliance management is no longer an annual check-the-box paperwork exercise. For modern security and engineering teams, it represents the operational framework that translates complex external mandates—from regulators, corporate boards, and enterprise customers—into testable, day-to-day technical configurations and procedural guardrails.

Deconstructing the Compliance Lifecycle

At its core, compliance management is a systematic, repeatable program used to map internal obligations, implement protective controls, automate evidence collection, and programmatically remediate control drift. While a typical point-in-time audit functions as a lagging snapshot of historic posture, a true Compliance Management System (CMS)—as framed by standards like ISO 37301—acts as a continuous, iterative lifecycle designed to constantly evaluate and mature an organization’s defense posture.

Compliance sits at the intersection of corporate governance and active cybersecurity, yet it remains functionally distinct from both:

Cybersecurity: Minimizes systemic risk by deploying technical defenses against active threat vectors.
Corporate Governance: Defines the organizational hierarchy, authority matrices, and accountability frameworks.
Compliance Management: Serves as the verifiable connection point. It generates the auditable data trail that proves to external entities, enterprise clients, and regulators that an organization’s security posture functions as intended.

Why Continuous Compliance Dictates Business Velocity

Modern regulatory environments have linked compliance health directly to operational survival, financial liability, and revenue generation capability:

Regulatory Defense: According to the US Department of Justice (DoJ) corporate evaluation guidelines, prosecutors explicitly weigh the proactive design and structural health of a company’s compliance architecture when deciding on corporate resolutions, financial penalties, and ongoing monitoring mandates.
Capital Market Mandates: Publicly traded enterprises are bound by strict SEC disclosure rules, requiring material cybersecurity incidents to be detailed on Form 8-K within four business days of materiality determination, complemented by annual risk strategy disclosures on Form 10-K or 20-F.
Sales and Vendor Procurement Speed: Enterprise procurement processes demand that B2B vendors present validated control maturity through frameworks like SOC 2 Type II, ISO 27001, PCI DSS, or GDPR. A centralized compliance program allows IT teams to respond to deep security vetting instantly using a single, unified source of truth.

The Real Cost of Shadow Technology: Industry telemetry from IBM indicates that breaches tied to unmanaged “Shadow AI” pipelines add an average of $670,000 in unexpected incident response costs, with 63% of breached organizations lacking an active, formalized AI governance architecture.

Anatomy of a Modern Compliance Architecture

An enterprise compliance engine relies on eleven core structural pillars to maintain systemic visibility across cloud networks:

The Baseline Architecture

Governance Model: Appoints formalized program owners, establishes reporting structures straight to executive leadership, and documents decision-making rights.
Obligation Register: A comprehensive, dynamic index of all statutory laws, external security frameworks, regional privacy mandates, and customer-facing service level agreements (SLAs).
Risk Assessment Engine: A formalized methodology to prioritize software assets, internal directories, and data pools by threat exposure, sensitivity, and business impact.
Unified Control Library: A centralized repository of internal policies that maps to multiple external compliance frameworks simultaneously.
Policies & Written Procedures: Formally documented behavioral rules that translate compliance intent into specific operational realities for engineering teams.
Automated Evidence Pipelines: Systematic capture mechanisms that continuously ingest configuration baselines, database logs, IAM snapshots, and operational tickets.
Role-Based Training: Target-specific educational programs covering regional privacy laws, code of conduct parameters, and secure coding practices.
Third-Party Risk Management (TPRM): Structured lifecycle oversight governing vendor evaluation, security posture checks, data processing agreements (DPAs), and safe offboarding loops.
Exception & Issue Registers: A transparent log tracking control gaps, temporary policy waivers, compensating controls, and executive risk acceptances.
Continuous Monitoring: Real-time validation engines designed to flag control drift, configuration changes, and missing evidence blocks instantly.
Executive Reporting Matrices: Actionable telemetry dashboards optimized for internal executives, external auditors, and client compliance teams.

Navigating the Global Framework Landscape

Security and IT teams must frequently design defenses to satisfy multiple, overlapping domestic and global standards at the same time:

Regulatory Category	Core Global Frameworks	Primary Technical Mandate
Data Privacy & Protection	GDPR (Art. 32), CCPA / CPRA	Requires risk-based technical controls including end-to-end encryption, pseudonymization, continuous resilience testing, and rapid data restoration workflows.
Financial & Transactional	PCI DSS v4.0, FTC Safeguards Rule	Mandates multi-factor authentication everywhere, secure development lifecycles, structured access logging, immutable audit trails, and formalized board-level security reports.
Critical Infrastructure & Sovereignty	NIS2, DORA (EU Financial Sector)	Enforces strict systemic ICT risk management frameworks, mandatory supply chain security checking, and highly accelerated incident reporting windows.
Enterprise Security Attestation	SOC 2 (Trust Services Criteria), ISO/IEC 27001	Requires detailed operational validation of corporate data security, availability, processing integrity, and processing confidentiality.
Artificial Intelligence & Emerging Tech	EU AI Act, NIST AI RMF, ISO/IEC 42001	Demands strict AI model inventories, usage risk classification, data ingestion logging, and continuous monitoring for shadow AI workloads.

The Operational Lifecycle: Step-by-Step Execution

Modern compliance operations function as an ongoing loop, closely mirroring structured risk methodologies like the NIST Risk Management Framework (RMF):

Scope Definition: Establish clear operational boundaries by isolating the business infrastructure, network assets, user directories, vendors, and codebases subject to tracking.
Mandate Identification: Populate the Obligation Register with relevant legal requirements and client contract clauses.
Asset Risk Ranking: Evaluate internal systems against data classification tiering, accessibility levels, and business criticality metrics.
Cross-Framework Control Mapping: Connect specific technical configurations to overlapping requirements in the unified library. For example, routing all system login requests through an Identity Provider (IdP) satisfies access control mandates across SOC 2, ISO 27001, and PCI DSS at the same time.
Ownership Assignment: Pair every single control requirement, evidence source, and open exception ticket with an individual technical owner and an enforceable due date.
Control Implementation: Enforce explicit system settings, configure code pipelines, and establish documented standard operating procedures (SOPs).
Evidence Generation & Testing: Schedule regular access validation reviews, infrastructure scans, backup restoration tests, and configuration snapshots.
Exception Logging: Document unexpected control drops, map out compensating safeguards, track time-bound remediations, and secure official manager sign-offs.
Telemetry Reporting: Provide clear compliance dashboards for management and auditors.
Continuous Reassessment: Update the global control map whenever infrastructure code changes, new microservices launch, external laws evolve, or threat intelligence landscapes shift. Guidance from NIST SP 800-137 supports this final step by providing continuous visibility into asset health and control efficacy.

Root Causes of Compliance Failure

Engineering teams frequently run into several persistent roadblocks that can undermine an otherwise healthy compliance program:

The Screenshot & Evidence Trap: IT specialists often lose hundreds of hours manually extracting configurations, building spreadsheet reports, and taking configuration screenshots. This repetitive collection process leads to operational burnout and distracts teams from active threat mitigation.
Point-in-Time Blindspots: Mandiant’s historical security telemetry reveals that initial access exploits can transition to downstream attacker lateral movement in as little as 22 seconds, with median attacker dwell times hovering around two weeks. Static annual audits fail to detect these live risks; keeping pace requires continuous validation.
SaaS and Identity Sprawl: The explosive growth of cloud accounts, privileged administration keys, automated API webhooks, workload identities, and autonomous AI agents creates complex, unmonitored access vectors that can easily slip past traditional directory audits.

Tactical Best Practices for Security Engineers

To scale compliance without adding friction to development velocities, enterprise security leaders should prioritize these four tactical design principles:

1. Implement a Single-Control, Multi-Framework Mapping Strategy

Never implement separate, isolated processes for individual compliance checklists. Instead, build a single robust control—such as a phishing-resistant Multi-Factor Authentication policy or a standardized code review pipeline—and map that single technical artifact to every overlapping requirement in your regulatory catalog.

2. Decouple and Automate the Evidence Ingestion Architecture

Integrate compliance automation platforms directly into your core systems via native APIs. Connect your compliance workflows to your Identity Providers (IdPs), Cloud Security Posture Management (CSPM) tools, continuous deployment (CI/CD) pipelines, vulnerability scanners, and ticketing engines to capture configuration evidence silently and continuously.

3. Anchor Compliance directly to Root Access & Password Controls

Access control forms the bedrock of almost every compliance standard. Organizations should align their infrastructure rules with modern, risk-aware authentication frameworks like NIST SP 800-63B:

Enforce a minimum length of 15 characters for single-factor values, and 8 characters when used alongside multi-factor layers.
Discard traditional, arbitrary character composition rules (such as forcing a mix of symbols and case variations) and eliminate arbitrary periodic rotation policies, which often lead to weaker user-generated choices.
Enforce continuous screening to block common, weak, or historically compromised credentials, and deploy strict authentication rate-limiting.

To achieve this at scale, enterprise teams leverage dedicated password protection suites like NordPass. NordPass consolidates corporate vaulting, secure cross-team sharing, live data breach scanning, and robust MFA integration into a single platform. By generating deep, audit-ready access logs and automating password health metrics across the workforce, it satisfies strict credential management requirements in ISO 27001, SOC 2, HIPAA, and the FTC Safeguards Rule natively, eliminating the need for manual screenshot collection.

4. Enforce Phishing-Resistant MFA and Secure Workload Identities

Traditional factor mechanisms like SMS notifications and basic push approvals remain highly vulnerable to modern adversary-in-the-middle (AiTM) phishing loops and prompt fatigue attacks. Security teams should transition administrative portals and high-privilege workflows toward phishing-resistant authentication methods, such as FIDO2 passkeys, hardware security keys, or device-bound certificate architectures.

Furthermore, because legacy user-based automation accounts cannot complete interactive MFA challenges without breaking functionality, administrators must aggressively migrate automated scripts and background code routines over to dedicated Entra Workload Identities or Managed Identities.

Looking Ahead: The Shift to Continuous, Real-Time Attestation

The traditional concept of compliance as a static, annual project is quickly coming to an end. Driven by rapid cloud deployment cycles and evolving global mandates, compliance management is transforming into a live, continuous system that runs alongside everyday business activities.

Future-ready IT organizations are moving away from manual evidence gathering and adopting real-time compliance dashboards. By centering their programs around a unified control library, automated API data collection, strict non-human identity management, and clear, individual ownership, security teams can confidently satisfy changing regulatory expectations while building a measurable, auditable, and resilient enterprise defense posture.

About NordPass
NordPass is developed by Nord Security, a company leading the global market of cybersecurity products.

The web has become a chaotic space where safety and trust have been compromised by cybercrime and data protection issues. Therefore, our team has a global mission to shape a more trusted and peaceful online future for people everywhere.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

About NordPass
NordPass is developed by Nord Security, a company leading the global market of cybersecurity products.

The web has become a chaotic space where safety and trust have been compromised by cybercrime and data protection issues. Therefore, our team has a global mission to shape a more trusted and peaceful online future for people everywhere.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

2026 Nord Security NordPass

Enterprise Security: Decoupling the Technical Architecture of Microsoft Entra Agent ID

The Anatomy of Entra Agent ID

Deconstructing Microsoft’s Hierarchical Identity Model for Autonomous and Assistive AI Systems

Strategic Briefing: As autonomous AI systems move from simple text generation to executing business logic across enterprise networks, traditional service principals are no longer sufficient. Securing these workloads requires a completely new identity paradigm. Microsoft Entra Agent ID introduces a hierarchical, delegated authentication framework explicitly engineered to handle the scale, fluid permissions, and blast-radius challenges of enterprise AI workers.

The Structural Identity Shift

Unlike legacy machine identities built for predictable scripts, a modern AI agent acts as a dynamic entity capable of calling APIs, utilizing toolkits, and impersonating human users. Instead of treating an agent as a simple static credential tied to an application registration, the Entra Agent ID framework decouples credential maintenance from permission enforcement. This structure defines an agent’s operational blueprint, regulates how it acts on behalf of others, and enforces human-level administrative accountability.

This deep dive examines both the functional building blocks of an AI agent and the specialized identity architecture that governs these non-human systems within the corporate directory.

1. The Functional Building Blocks of an Agent

Before an agent can interact with Microsoft Entra ID, its internal code architecture dictates how it perceives data and executes tasks. This functional loop relies on four foundational components:

Reasoning Engine (Model): The underlying large language model (LLM) that processes intent, parses instructions, and makes systemic decisions.
Orchestration Layer: The cyclical control loop that manages data intake, prompts the model, and determines when a multi-step objective has been achieved.
Contextual Memory: Dynamic storage arrays that supply real-time state and historical interactions, eliminating the need for constant model retraining.
Extensible Interfaces (Tools): The connection points—such as web scrapers, local file systems, and external APIs—that allow the agent to read and modify its environment.

2. Deconstructing the Entra Agent ID Hierarchy

Because autonomous workflows introduce unpredictable access patterns, Microsoft uses a multi-tiered identity structure rather than standalone service principal definitions. This model cleanly isolates master configuration settings from individual running instances.

The Blueprint Tier (Templates & Core Security)

Agent Identity Blueprint: Serving as the master operational template (analogous to an App Registration), the blueprint is the sole credential vault for the agent family. It stores certificates, client secrets, or Federated Identity Credentials (FIC). Individual running instances never manage their own passwords; all credentials live exclusively at this root level. The blueprint also defines baseline configuration data and inheritable permissions that flow down to all child instances.

Agent Identity Blueprint Principal: The tenant-specific runtime representation of the blueprint (analogous to an Enterprise Application). Upon deployment, this object automatically receives the AgentIdentity.CreateAsManager role, giving it authorization to provision and manage the lifecycle of localized child agent identities. When a blueprint requests tokens inside a tenant, the audit logs track the object ID of this principal to maintain accountability.

The Instance Tier (Acting Personas)

Agent Identity: A specialized service principal subtype that serves as the unique account individual agents use to authenticate. While the blueprint holds the cryptographic keys, the Agent Identity houses the actual privilege set (Microsoft Graph scopes, Azure RBAC roles, and Entra permissions). It registers as the acting client in sign-in logs, mapping every automated action to a specific instance. Non-Microsoft platforms are capped at spawning 250 agent identities per tenant under app-only models.

Agent User Account (Agent User): An optional, secondary Entra user account paired precisely one-to-one with a specific agent identity. This is provisioned exclusively when an agent must interact with human-centric collaboration tools that strictly require user-object structures—such as Microsoft Teams channels, Exchange mailboxes, or shared calendars. These objects return an idtyp=user token claim but completely bypass human authentication paths (like MFA or passwords), relying instead on identity federation through their parent agent identity.

Critical Security Boundary: Because child agent identities do not maintain individual passwords, compromising an Agent Identity Blueprint’s root credentials instantly compromises every associated child agent identity deployed across the entire enterprise tenant.

3. Token Exchange and Authentication Mechanics

Authentication within this architecture shifts from traditional secret verification to a strict, multi-step token-exchange model driven entirely by industry-standard protocols like OpenID Connect (OIDC) and OAuth 2.0.

When an active agent identity needs to query a resource, the process unfolds through a delegated impersonation flow:

The parent agent identity blueprint uses its root credentials (such as an FIC or a certificate) to authenticate directly with Microsoft Entra ID.
Entra ID verifies the blueprint and issues an intermediate exchange token targeted at a specific child agent identity.
The agent identity uses this exchange token as its client assertion to pull the final access token required to query the destination API.

As a result of this exchange, the access token lists the specific agent identity instance as the primary client actor, ensuring deep historical traceability in corporate SIEM platforms.

Operational Authentication Flows

Depending on the business objective, agents authenticate using one of three dedicated OAuth profiles:

Authentication Profile	Technical Flow Trigger	Authorization Bounds
Interactive / Assistive	Triggers via On-Behalf-Of (OBO) flows in response to a live, signed-in human user prompt.	Utilizes delegated scopes; the agent can never exceed the permissions of the interacting human.
Autonomous Background	Runs independently without human context via scheduled actions or system event hooks.	Utilizes the Client Credentials flow; acts strictly on application permissions directly assigned to the agent identity.
Agent User Profile	Triggers when interacting directly with user-object silos like Exchange or Teams channels.	Bypasses standard human interactive prompts, authenticating purely via parent identity federation.

4. Governance, Authorization, and Shadow Access Vectors

To prevent unmanaged “agent sprawl,” Microsoft establishes strict administrative lines that separate structural configuration from business lifecycle ownership:

Sponsors: A mandatory human user or group holding absolute business accountability for the agent’s lifecycle. Sponsors approve access extensions, review usage metrics, and authorize immediate isolation during an incident. Without an assigned sponsor, an identity becomes “governance-invisible” and is blocked from routine access reviews.
Owners: Human personnel responsible for technical adjustments, integration configurations, and immediate incident response for the blueprint or agent instance.
Managers: Technicians specifically designated to handle the operational configuration of secondary Agent User accounts.

The Threat Model: Inheritable Permissions and Permitted Dangerous Scopes

To ease administration across large environments, Entra ID allows administrators to configure inheritable permissions directly on the root Agent Identity Blueprint. Once consented to on the Blueprint Principal, these permissions automatically cascade to all child agent identities.

While operationally efficient, this architecture introduces a severe Shadow Access Risk. Because inherited permissions are injected dynamically during token issuance, checking the individual agent identity object directly will reveal a completely clean, zero-privilege profile. Security teams auditing single instances will miss active, high-privilege scopes entirely unless they evaluate the root blueprint’s configuration matrix.

“While Microsoft explicitly blocks agents from holding top-tier directory roles like Global Administrator and high-risk API permissions like RoleManagement.ReadWrite.All, several Tier-0 equivalent capabilities remain assignable. For example, an agent holding the permitted Application.ReadUpdate.All scope can be abused by an attacker to inject malicious credentials into existing enterprise applications.”

5. Generational Distinctions and the Evolution of the Registry

As organizations run asset discovery audits across their directories, security teams must distinguish between two architectural eras of agents currently coexisting in Entra ID:

Classic Agents: Legacy automation objects—such as those provisioned in early iterations of Copilot Studio—that run on traditional application service principals. These are flagged in the directory as Has Agent ID: No. They are completely incompatible with modern, agent-specific security layers like Agent Conditional Access or Agent Identity Protection.
Modern Agents: Non-human identities fully native to the new framework. They are backed by a master blueprint, possess a distinct Agent ID, utilize the token-exchange impersonation engine, and support risk-based Conditional Access.

To streamline this management overhead, Microsoft is introducing Agent 365 (Generally Available May 2026). This unified control plane replaces older Agent Registry blades in the Entra admin center, acting as the singular source of truth for tracking, auditing, and managing both classic and modern agent models across the enterprise.

The Paradigm Shift in Non-Human Workloads

The evolution of non-human directory objects marks a distinct shift in security priorities:

Standard Service Principals: Engineered for predictable scripts. The primary defensive focus is preventing secret leakage.
Managed Identities: Engineered for cloud resources, removing visible credentials entirely. The primary defensive focus is mitigating permission sprawl caused by over-provisioned RBAC roles.
Agent Identities: Engineered for non-deterministic, autonomous LLM workflows. The primary defensive focus is managing inherited access and the blueprint blast radius. Defenders must audit not only what an identity is configured to do on day one, but what it can dynamically become as it navigates across connected tools, users, and enterprise applications.

About Guardz
Guardz is on a mission to create a safer digital world by empowering Managed Service Providers (MSPs). Their goal is to proactively secure and insure Small and Medium Enterprises (SMEs) against ever-evolving threats while simultaneously creating new revenue streams, all on one unified platform.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

Guardz 2026

Scalefusion Product Update: Next-Generation macOS OS Update Management Architecture

The Evolution of macOS Fleet Maintenance

Transitioning from Device-Level Execution to Structured OS Update Operations inside Scalefusion

Product Architecture Briefing: Maintaining patch compliance across distributed enterprise hardware is a vital component of modern endpoint security governance. Scalefusion has completely redesigned its macOS OS Update Management paradigm. Moving past fragmented, device-level scheduling, this new operations-based engine treats operating system updates as structured lifecycle workflows—delivering deep deployment observability, granular timeline controls, and multi-protocol enforcement capabilities fleet-wide.

The Structural Challenge of Decentralized Update Tracking

For systems administrators managing large or expanding hardware fleets, deploying operating system updates is rarely a simple execution. It requires coordinating continuous oversight across diverse and distributed environments. Without centralized visibility, tracking user-deferred actions, identifying stalled installations, and troubleshooting failed update packages frequently turns into a reactive game of compliance catch-up. To safely scale device governance, IT architects need an environment designed around traceability and structure. Software deployments must be grouped, sequenced, monitored, and audited from a single control center. The redesigned Scalefusion ecosystem addresses these challenges directly by encapsulating update workflows inside centralized execution blocks called OS Update Operations.

“Modern patch governance requires a shift in how administrators interact with endpoints. We must move away from pushing one-off, disconnected commands toward implementing continuous, auditable deployment pipelines.”

Operational Execution: The New Framework Core

Rather than broadcasting raw updates directly to individual devices, administrators can now bundle software distribution packages inside distinct operations. These operations are then mapped directly to targeted machine silhouettes or user groups upon publication, standardizing tracking across the enterprise.

Advanced Patch Capabilities for Mac Admins

Dual-Protocol Enforcement Support: Leverage Apple’s modern Declarative Device Management (DDM) framework for autonomous, client-driven update enforcement, or fallback seamlessly to standard MDM commands based on device compatibility profiles.
Deterministic Deadline Enforcement: Establish hard, organization-wide compliance timelines to guarantee update completion windows.
Automated Catalog Sync & Pre-Reminders: Dynamically publish upcoming releases to local hardware software catalogs while staging progressive user notifications.
Granular Telemetry & Reporting: Isolate and monitor live deployment progress via real-time success, in-progress, and error metrics, paired with raw event-level export matrices for immediate debugging.

Centralized Telemetry: The OS Update Overview Dashboard

Isolating environment-wide patch compliance issues shouldn’t require jumping between disparate screens or stitching together flat spreadsheet exports. The new, centralized OS Update Overview Dashboard aggregates multi-tenant endpoint data into a single operational workspace. Re-calculating environment telemetry every 24 hours, the analytics engine surfaces critical deployment layers instantly:

Telemetry Vector	Analytical Scope	Defensive Utility
Global Success Distributions	Real-time allocation splitting across fully updated, pending, and failed endpoint buckets.	Allows immediate identification of systemic package errors or stalled client hardware pools.
SaaS Lifecycle Expirations	Identifies available packages alongside legacy operating systems fast approaching software expiration thresholds.	Ensures proactive campaign orchestration before systems drop out of active patch support.
Active Operation Telemetry	Live monitoring of active deployment pipelines currently running across the fleet.	Provides complete oversight into ongoing operational footprints.
Trigger Source Breakdown	Differentiates between user-initiated software loops and forced, system-driven enforcement packages.	Helps architects balance organization compliance against end-user productivity friction.

To further enhance troubleshooting, a chronological Events View complements the standard Update and Device views, providing a complete, filterable history of update-related actions across every endpoint lifecycle.

Balancing Enterprise Compliance with End-User Productivity

Enforcing security parameters at scale requires minimizing friction within user environments. Conflicting policies can easily generate unexpected client errors. To prevent policy overlap, the new framework enforces a strict rule: an individual device can belong to only one active OS Update Operation at a time. Assigning an endpoint to a new update operation automatically severs its ties to the old operation, eliminating duplicate actions natively. Furthermore, Scalefusion has replaced disruptive full-screen prompt injections with non-blocking, inline notification loops. Administrators can configure custom reminder schedules tailored to their specific operational culture:

Standard daily check-ins for routine software increments.
Staggered 3-day verification loops for non-critical patches.
Progressive escalation workflows that start as quiet weekly nudges and systematically increase in frequency as the enforcement deadline nears.

Streamlined Migration Architecture

Account Owners, Co-Account Owners, and administrators holding elevated update privileges can transition to this updated operational framework via an integrated, guided onboarding experience. Legacy client agents will continue to ingest baseline OS deployment commands safely, appearing automatically under the new Operations tab for structured tracking.

Technical Prerequisite: While legacy client agents maintain basic baseline operation tracking, accessing advanced capabilities—including self-service update workflows, on-device reminder schedules, and full telemetry logging—requires upgrading target systems to Scalefusion Agent version 5.14.8 (585) or later.

Scale Enterprise macOS Governance Natively

Transform your approach to endpoint patch compliance from a reactive scramble into an organized, automated operation. The redesigned macOS Update Management engine provides the explicit visibility, operational structure, and granular enforcement controls required to govern modern distributed environments safely.

Structured Deployment Operations: Bundle and track updates cleanly via isolated, traceable execution frameworks.
Centralized Intelligence: Isolate deployment anomalies instantly via the daily refreshed Overview Dashboard.
Frictionless UX Guardrails: Eliminate policy conflicts natively while protecting user productivity through non-disruptive notifications.

Hardening your fleet begins with comprehensive visibility. Explore the redesigned update management engine within your Scalefusion instance today or coordinate a deep-dive technical blueprinting session with our architecture team.

Scalefusion 2026

The Illusion of Control: IT Leadership Insights on Agentic AI Governance

The Illusion of Control

A Data-Driven Analysis of the Dangerous Maturity Gap Between Autonomous AI Adoption and Enterprise Recovery Preparedness

Strategic Briefing: Artificial intelligence has completely saturated enterprise discussions, but beneath the surface optimization lies an operational security paradox. A recent market study surveying over 300 senior IT decision-makers reveals a stark misalignment: while confidence in agentic AI governance is soaring, corporate disaster recovery habits have remained completely static. Organizations are aggressively adopting autonomous systems without strengthening the recovery capabilities required to handle machine-speed fallout.

Defining the Adoption-Control Gap

To understand the risk, security architects must first differentiate simple generative content tools from agentic AI. Agentic systems do not merely output text or draft code; they execute actions independently, query live APIs, manipulate multi-tier database systems, and orchestrate complex business workflows autonomously. This functional authority is precisely why comprehensive data governance and resilience strategies are no longer optional. The survey data outlines a highly aggressive adoption curve matched with alarming overconfidence:

53% of Enterprise Environments report that agentic AI systems are already fully implemented across their operations, while an additional 40% are running active departmental rollouts.
67% of IT Leaders assert that their security teams maintain complete control and clear governance boundaries over these active agentic workflows.

True operational implementation requires complete data classification, absolute visibility into third-party integrations, and continuous audit trails. Claiming total control over dynamic, autonomous pipelines without these underlying systems is an optimization bias. Empirical industry data from Cisco emphasizes this prepareness chasm: while 97% of CEOs plan to embed AI functionalities into their core infrastructure, a mere 1.7% of CIOs feel structurally prepared to govern them safely.

“The internal exposure is no longer just about the sanctioned AI architecture you deployed. It is driven by the invisible surge of shadow AI—unmonitored, employee-introduced agents executing automated tasks at machine speed across your corporate tenants, completely hidden from security operations.”

Autonomous Action Vectors: Moving Beyond Single-Purpose Silos

Modern AI agents refuse to remain confined to isolated technical sandboxes. While IT and operations lead enterprise integration at 78%, risk management and cybersecurity teams have rapidly expanded their usage, accounting for 57% of active implementations. Every new business logic integration natively expands the enterprise attack surface:

Operational Risk Factor	Human Interaction Dynamic	Autonomous Agentic Profile
Blast Radius Propagation	Linear, constrained by manual clicks, human fatigue, and physical speed limitations.	Exponential, multi-tiered file system modifications executing across API meshes in seconds.
Reversibility & Rollbacks	Errors are localized, chronological, and easily targeted via standard audit trails.	Irreversible mass alterations. Automated agents can cascade corrupted data writes across shared cloud instances instantly.
External Reconnaissance	Requires prolonged manual exposure analysis and staggered perimeter probing.	Machine-speed vulnerability discovery, scanning, and targeted exploitation cycles.

The Critical Recovery Muscle Atrophy

Given that autonomous agents accelerate both adversarial attacks and internal operational accidents, one would naturally expect modern enterprises to shift toward aggressive, high-frequency disaster recovery testing cycles. The empirical data reveals the exact opposite trend. While macro testing statistics have superficially improved—with only 1% of enterprises now reporting a total lack of annual disaster recovery testing—the actual frequency of these exercises has not budget over a 12-month period. Organizations are so thoroughly absorbed by the immediate mechanics of AI deployment that they have completely neglected to strengthen the backup and restoration frameworks that save them when an autonomous workflow goes rogue. This is a dangerous miscalculation. Telemetry from Keepit’s Annual Data Report confirms the necessity of active restoration engineering, showing that 9 out of 10 commercial enterprises were forced to execute bulk data restores at least once over the past year. Corporate infrastructures are spinning up self-governing code pipelines while leaving the emergency brake completely unmaintained.

The Real-World Architectural Concerns Facing CISOs

When pressed on the primary infrastructure vulnerabilities introduced by a heavily automated SaaS ecosystem, enterprise leaders point directly to structural governance voids:

The Enterprise AI Anxiety Matrix

55% of IT Leaders cite a complete lack of technical understanding regarding underlying AI system risks as a top-tier operational concern (ranking it a 9 or 10 out of 10).
47% of Respondents report that undefined ownership boundaries and ambiguous accountability frameworks pose immediate threats to cloud stability.

AI cannot be treated like a static communication utility like enterprise email. Because these models maintain wide write-privileges across interconnected databases, standard compliance boundaries blur. A definitive rule must govern the architecture: the use of an autonomous tool does not absolve the human operator or the business unit of liability for corrupted or exfiltrated data states.

Designing the Path to True Structural Control

Bypassing the illusion of control requires moving past aspirational policies and implementing enforceable, code-level infrastructure guardrails. CISOs must anchor their deployment frameworks around four tactical remediation layers:

Dynamic Data Classification: Implement continuous, live data discovery and classification across all SaaS workloads before indexing repositories into a vector database.
Establish a Centralized Center of Excellence: Form an isolated governance board to vet automation tools, set explicit API integration boundaries, and enforce mandatory, graduated training paths across personnel. No certified training implies zero AI access.
Deterministic Playbook Restoration: Move disaster recovery out of a state of crisis improvisation. Define exactly what critical data assets are required for minimal operational survival, map their exact cross-dependencies, and test bulk restoration paths under simulated pressure frequently.
Independent, Immutable System of Record: Ensure all core SaaS data stores are backed up into an independent, third-party cloud framework featuring strict object immutability. If an agent executes an unintended mass modification sequence, the enterprise must retain the ability to cleanly roll back the entire directory to a verified, pre-incident state instantly.

Is Your SaaS Recovery Optimized for the Speed of AI?

The baseline truth is stark: only 28% of monitored organizations rate their cloud disaster recovery posture as optimized—fully automated, integrated, and continuously improving. The remaining 40% operate in a highly reactive state just as autonomous agents raise the operational stakes. Gartner projects that over 40% of all agentic AI deployments will be abandoned by the end of 2027 due to unmanaged risk controls and runaway costs. Do not allow your infrastructure to be caught in that metric. Use Keepit’s Disaster Recovery Maturity Framework to accurately audit your current resilience baseline, identify unmonitored SaaS exposure paths, and map the exact technical steps required to move your enterprise up the maturity curve.

About Keepit
At Keepit, we believe in a digital future where all software is delivered as a service. Keepit’s mission is to protect data in the cloud Keepit is a software company specializing in Cloud-to-Cloud data backup and recovery. Deriving from +20 year experience in building best-in-class data protection and hosting services, Keepit is pioneering the way to secure and protect cloud data at scale.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

2026 Keepit

Enterprise Security Architecture: Top 5 AI DLP Solutions for ChatGPT and Claude (2026)

The Generative Leakage Frontier

A Comprehensive Technical Evaluation of the Top 5 AI DLP Solutions Protecting ChatGPT and Claude Hubs

Strategic Briefing: Generative AI workflows have transformed the data loss landscape, introducing critical exfiltration vectors via user prompts, file attachments, and automated application loops. Legacy pattern-matching DLP structures are ill-equipped to police unstructured language platforms. This evaluation deconstructs the market’s leading AI Data Loss Prevention (DLP) offerings—specifically analyzing how dope.security, Microsoft Purview, Netskope, Zscaler, and Nightfall AI handle continuous content analysis, infrastructure latency, and account tenant governance.

Architectural Prerequisites for 2026 AI DLP Compliance

Securing corporate interactions across LLM nodes like ChatGPT and Claude requires shifting from traditional static URL blocks to deep application-layer inspection. To safely maintain AI utility without inducing severe alert fatigue, an enterprise DLP engine must execute six core competencies natively:

Granular Prompt Deflection: The engine must parse and redact the raw text payload of an input prompt dynamically, avoiding binary domain-level blocks.
Deep Attachment Decomposition: Intercepting and extracting text layers from raw file uploads (including code repositories, PDFs, and data sheets) in real time.
Context-Aware LLM-Grade Classification: Shifting beyond primitive regular expressions (regex) to understand semantic context, distinguishing actual source exposure from harmless phrases.
SaaS Tenant Access Isolation: Enforcing policy control at the account layer—allowing access to the official corporate instance while actively blocking unmanaged personal logins.
Perimeterless Endpoint Ubiquity: Delivering continuous coverage across native desktop utilities, IDE plugins, and off-network endpoints, rather than policing standard browser extensions exclusively.
Backhaul-Free Data Routing: Executing policy analysis close to the source to maintain user performance, eliminating the high latency associated with cloud-proxy traffic routing.

“The core problem with legacy DLP structures is their inability to differentiate between a user uploading real customer transaction lists and a user asking a model to optimize a generic code template. Context-aware, machine-speed classification is no longer an optimization feature; it is an architectural baseline.”

Comparative Capabilities Matrix

The following technical blueprint summarizes how the five primary security platforms diverge across key execution vectors:

Security Metric	dope.security	Microsoft Purview	Netskope	Zscaler	Nightfall AI
Prompt Payload Inspection	Yes	Yes (M365 Native)	Yes	Yes	Yes
Attachment Content Decomposition	Yes	Partial	Yes	Yes	Yes
Classification Engine	Native LLM Evaluation	Trainable Classifiers / Patterns	Machine Learning / Patterns	Machine Learning / Patterns	AI-Native ML Models
Tenant Identity Controls	Yes (Cloud App Control)	Within M365 Ecosystem	Proxy-Dependent	Partial Integration	No (DLP Point Focus)
Inspection Node Point	On-Device Local Agent	Endpoint & SaaS Cloud	Cloud Proxy Node	Cloud Proxy Node	Browser & Endpoint Agent
Backhaul-Free Routing	Yes (Fly Direct)	SaaS Dependent	No	No	Yes (Local Processing)
Consolidated Architecture	Yes (SWG + CASB + DLP)	Microsoft Suite Ecosystem	Netskope SSE Platform	Zscaler Cloud Platform	DLP Point Utility Only
Deployment Complexity	Instant Activation (Zero Tuning)	Moderate (Requires Policy Work)	Platform Dependent	Platform Dependent	Fast Plugin Onboarding

—

Deep-Dive Market Evaluation

1. dope.security: Architectural Leader in AI DLP

dope.security secures the premier position in our index by executing all six structural prerequisites natively from a consolidated architectural interface. Its core classification engine, Dopamine DLP, is integrated directly into an on-device Secure Web Gateway (SWG). When a user inputs text or attaches a dataset to a third-party model like ChatGPT or Claude, the local agent catches the payload directly on the hardware endpoint, extracts the content metadata, and parses it via local LLM logic within milliseconds.

Because dope.security replaces legacy regular expressions with advanced language model classification, it understands semantic nuance out of the box, activating protection without months of policy authoring or rule calibration. Operating via a patented architecture (US Patent 12,464,023) and utilizing zero-data-retention loops, data remains fully isolated from model training pools. Traffic routes via a unique “Fly Direct” model—eliminating heavy cloud proxy backhaul, keeping the client agent under 100 MB of RAM, and using Cloud Application Control to cleanly block personal accounts while prioritizing enterprise tenants across the entire fleet.

2. Microsoft Purview: Dominant Option for M365 Co-Centric Environments

Microsoft Purview represents a highly cohesive option for infrastructures that rely heavily on Microsoft 365 Copilot as their primary generative surface. Purview delivers real-time validation across Copilot prompts, blocking web-grounding capabilities immediately if a user attempt includes restricted sensitive data types. The tool leverages existing asset labeling frameworks and historical trainable classifiers natively within the Microsoft tenant.

While exceptionally strong inside its native boundaries, its pattern-centric classification models require ongoing engineering attention to minimize false positives compared to conversational LLM analyzers. Furthermore, its coverage parameters across independent third-party applications like Claude or OpenAI remain less comprehensive than dedicated endpoint alternatives.

3. Netskope: Competent Platform Extension for Legacy SSE Estates

Netskope’s specialized AI Gateway delivers detailed tracking over data entries heading toward external consumer systems like ChatGPT and Gemini, balancing out identity channels to identify personal-account bypass techniques. For security environments already operating within a broader Netskope Security Service Edge (SSE) landscape, this module extends existing policies into generative spaces.

However, Netskope relies entirely on a traditional cloud-proxy model. All user prompt flows must be backhauled to external cloud infrastructure to undergo decryption and inspection, introducing unavoidable latency variables and data residency challenges that must be evaluated by data protection officers.

4. Zscaler: Scalable Data Control for Established Enterprises

Zscaler’s AI Security Suite offers extensive tracking across public generative platforms, embedded AI applications, and cloud development workspaces. It functions as a logical expansion vector for mature enterprises that have already anchored their network access architecture around Zscaler’s cloud architecture.

Engineers must note that Zscaler’s deepest granular controls apply primarily to standard web-proxied browser traffic. This architectural reliance can leave compliance gaps for native operating system assistants, specialized desktop frameworks, or localized automated agents that operate outside traditional browser proxy parameters.

5. Nightfall AI: Specialized Browser Redaction Point Tool

Nightfall AI functions as a purpose-built, highly targeted security layer explicitly engineered to block data exposure across standard browser interfaces. Operating via a Chrome plugin framework paired with localized endpoint hooks, Nightfall provides real-time prompt scrubbing, automated clipboard paste prevention, and inline user coaching across more than 100 sensitive data indices.

While deployment is remarkably fast due to its browser plugin architecture, Nightfall functions fundamentally as an independent point solution. It lacks integrated SWG components, native tenant domain control, and broader URL filtering capabilities, requiring it to run alongside independent network perimeter controls to ensure full security coverage.

—

The Operational Deployment Equation

Organizations often over-index on comparison matrices while overlooking the single variable that dictates long-term security outcomes: deployment friction. Microsoft Purview demands significant administrative allocation to calibrate policies, while Netskope and Zscaler require multi-quarter routing configurations. Nightfall allows fast web deployment but requires parallel utilities for full coverage.

By contrasting these models against dope.security’s LLM-driven baseline, security leaders can bypass traditional regex engineering entirely. dope.security activates multi-vector AI data loss prevention from a single click, allowing lean engineering teams to protect thousands of corporate endpoints without scaling operational maintenance costs.

—

Harden Your Generative AI Footprint

Do not allow unstructured language prompts to become an unmonitored exit path for your intellectual property and customer records. Running dope.security provides your enterprise with highly accurate, low-latency data visibility across ChatGPT, Claude, and modern cloud assets simultaneously.

On-Device LLM Classification: Eliminate false positives with context-aware content analysis running locally on the endpoint.
Enforceable Cloud Application Control: Isolate corporate tenants instantly while blocking unauthorized personal logins fleet-wide.
Zero Backhaul Latency: Maintain optimal user experience with Fly Direct architecture that avoids cloud proxy bottlenecks.

Deploy visibility across your distributed fleet today. Launch an active free trial or schedule an interactive architecture briefing at dope.security.

About Dope Security
A comprehensive security solution designed to protect individuals and organizations from various cyber threats and vulnerabilities. With a focus on proactive defense and advanced technologies, Dope Security offers a range of features and services to safeguard sensitive data, systems, and networks.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

Dope Security 2026

The Architecture of Survival: Resilient Backup Governance in 2026

The Paradigm of Data Survivability

How Regulatory Mandates, Hypervisor Disruption, and Attacker Economics Rewrote the Rules for Enterprise Recovery

Strategic Briefing: Backup software has moved from a quiet IT insurance policy to a core line of digital defense. In an era dominated by targeted infrastructure destruction, legacy recovery metrics like capacity and baseline compatibility are no longer enough. Modern platforms must operate assuming that production systems have been breached, enforcing strict architectural immutability, programmatic data isolation, and jurisdictional data sovereignty natively.

The Shift from Availability to Active Survivability

For decades, data protection procurement focused on a predictable technical list: storage capacity, Recovery Time Objectives (RTO), Recovery Point Objectives (RPO), and hypervisor support. Modern threat economics have broken these criteria. Rather than targeting production environments immediately, ransomware actors focus their initial pre-encryption phase entirely on locating and destroying the backup architecture. By erasing backup catalogues, deleting repositories, and harvesting administrative credentials, adversaries remove the recovery path before triggering their primary payload.

This reality forces an architectural shift. Security leaders can no longer ask, “Do we have a backup?” They must ask, “Can our backup infrastructure survive an adversary who already holds domain administrator privileges?” Ensuring this level of resilience requires moving beyond simple administrative policies toward explicit, platform-enforced data security.

“Five years ago, auditors wanted to see your theoretical security controls. Today, they want to see the verifiable timestamp and measured throughput of your last successful recovery test.”
— Paweł Mączka, CTO, Storware
Regulatory Reframing: Assuming the Systemic Breach
Modern regulatory compliance frameworks—specifically the Digital Operational Resilience Act (DORA) within financial services and the NIS2 Directive across critical infrastructure sectors—have abandoned the assumption that preventative perimeters are sufficient. These mandates explicitly assume that a critical breach will occur, shifting the audit focus onto an organization’s proven ability to maintain operations during a crisis.
This regulatory shift changes the metric of successful risk management:
Verifiable Recovery Over Protective Assertions: Organizations must actively demonstrate continuous, documented restoration cycles rather than pointing to static firewall configurations.
Operational Continuity Under Compromise: A security operations center that takes hours to isolate a threat has executed its protocols correctly. However, if core systems are encrypted during that window and recovery takes weeks, the entity has still failed its compliance baseline.
Defensible Data Resilience: Backup architecture has evolved into the definitive proof that an enterprise can withstand sustained operational pressure.
Cyber Insurance as an Infrastructure Architect
Following consecutive periods of historic claims payouts, the cyber insurance underwriting market has stopped treating data protection as a basic checkbox. Insurers are actively dictating infrastructure architecture, requiring technical commitments before issuing operational policies. Modern underwriting guidelines frequently require:
Logical and Network Air-Gapping: Secondary data repositories that are entirely insulated and unreachable from production routing tables during steady-state operations.
Immutable Retention Locks: Storage structures enforced at the filesystem layer that block data modification or deletion, preventing even an administrative token from shortening retention windows.
Independent Authentication Boundaries: Multi-factor authentication (MFA) deployed directly on the backup management console, completely decoupled from the corporate Identity Provider (IdP) to withstand a centralized identity compromise.
Pre-Recovery Malware Analysis: Programmatic scanning of historical data states for indicators of compromise (IoCs) before mounting them back into production, preventing immediate re-infection.
Hypervisor Independence: Navigating the Post-VMware Era
The enterprise infrastructure landscape has been drastically altered by Broadcom’s acquisition of VMware. Organizations are actively migrating portions of their virtual estates to alternative platforms to avoid licensing instability. Smaller footprints are moving toward Proxmox VE or XCP-ng, while massive enterprise environments and managed service providers (MSPs) are deploying OpenStack architectures at scale.
This migration layer creates severe integration challenges for legacy backup utilities, which were often built exclusively for VMware environments. True data security requires a platform that delivers native, agentless protection across multiple divergent virtualization fabrics simultaneously, maintaining continuous data protection across both source and destination architectures during complex infrastructure transitions.
Virtualization Fabric Architectural Profile Data Protection Requirement
VMware vSphere Legacy enterprise baseline; highly standardized and structured. Maintains historical backup baselines while supporting safe data export pathways.
OpenStack Highly flexible, vendor-neutral cloud framework; variable storage and networking paths. Requires dynamic resource discovery to map custom Cinder, Neutron, and Ceph configurations cleanly.
Proxmox VE / XCP-ng Emergent open-source hypervisor alternatives for distributed modern infrastructure. Demands native, agentless protection streams that avoid resource-heavy guest OS agents.

Hardened Linux: Eliminating the Architectural Foothold
Because approximately 95% of targeted enterprise exploits focus on Windows environments, hosting data protection engines on a Windows-based server exposes an organization to unnecessary systemic risk. Building backup software directly on top of a purpose-built, hardened Linux distribution eliminates an entire layer of common vulnerability vectors.
True operational hardening requires stripping the underlying operating system of all general-purpose flexibility. In a hardened backup appliance, unnecessary services and unmapped kernel-level ports are completely disabled, and the execution environment blocks the installation of third-party software. By nesting storage immutability within the XFS filesystem layer and restricting access behind hardware-tied microcode validations, the repository remains completely secure from external configuration manipulation.

The European Jurisdictional Paradigm and Data Sovereignty
For modern organizations managing regulated international datasets, technical infrastructure hardening is only half the compliance requirement. Security leaders must also account for the jurisdictional boundaries governing their data assets. Under legislative mandates like the U.S. CLOUD Act, American authorities can compel companies headquartered within their jurisdiction to produce data regardless of its physical geographic location—even if stored on servers located within the European Union.
To satisfy strict regulatory sovereignty requirements under NIS2 and DORA, enterprises need clear control over their cloud storage routing. This means having the ability to select vendor-neutral, European-owned cloud providers with zero capital or operational ties to external jurisdictions. By combining this strict geographic placement with automated erasure coding, data states are systematically split and distributed across independent data centers, ensuring that a compromise at any single node yields zero recoverable intelligence to an adversary.

Frequently Asked Questions
What defines a cyber-resilient backup platform?
A traditional backup simply verifies that a recovery point exists on disk. A cyber-resilient platform ensures that recovery points can withstand a persistent adversary who already holds administrative control over the network. This resilience is achieved through immutable filesystems, automated network air-gapping, separate authentication boundaries, and pre-restore malware scanning.
How do DORA and NIS2 regulations impact data backup?
Both frameworks shift the compliance focus from purely preventative measures to demonstrable recovery capabilities. Auditors require documented, timestamped restoration tests, isolated data states that can survive network-wide compromises, and a backup management architecture that operates completely independently of the primary corporate identity infrastructure.
Why does OpenStack pose a challenge for traditional backup tools?
Unlike standard hypervisors with highly rigid reference architectures, OpenStack allows administrators to combine Cinder drivers, Neutron network topologies, and Ceph storage backends in an almost infinite number of custom variations. Traditional backup tools assume a fixed infrastructure layout and fail. A resilient platform must discover and map these custom OpenStack environments dynamically.
Does the U.S. CLOUD Act affect data physically stored within the EU?
Yes. The CLOUD Act allows foreign authorities to compel providers headquartered within their jurisdiction to produce data, regardless of where the physical servers reside. Organizations with strict data residency mandates require an end-to-end sovereign stack where the software development, technical support, and cloud infrastructure operate entirely outside foreign legal boundaries.
Evaluate Your Operational Resilience Under Real Pressure
If your organization’s last successful recovery test pre-dates your most recent board-level discussion regarding ransomware, your data protection strategy contains unaddressed risk. Partner with the Storware team to analyze your active infrastructure against the strict requirements of DORA, NIS2, and modern underwriting baselines.
Multi-Hypervisor Flexibility: Protect your data smoothly across VMware, OpenStack, Proxmox, and containerized architectures from a single pane of glass.
Enforceable Network Isolation: Deploy the automated Isolator module to air-gap secondary data copies automatically after job completion.
Absolute Jurisdictional Control: Maintain end-to-end data sovereignty through a fully European-resident technology stack.
Do not rely on theoretical security controls when facing real-world threats. Contact our data protection engineers today to schedule a live architecture review.

Virtualization Fabric	Architectural Profile	Data Protection Requirement
VMware vSphere	Legacy enterprise baseline; highly standardized and structured.	Maintains historical backup baselines while supporting safe data export pathways.
OpenStack	Highly flexible, vendor-neutral cloud framework; variable storage and networking paths.	Requires dynamic resource discovery to map custom Cinder, Neutron, and Ceph configurations cleanly.
Proxmox VE / XCP-ng	Emergent open-source hypervisor alternatives for distributed modern infrastructure.	Demands native, agentless protection streams that avoid resource-heavy guest OS agents.

About Storware
Storware is a backup software producer with over 10 years of experience in the backup world. Storware Backup and Recovery is an enterprise-grade, agent-less solution that caters to various data environments. It supports virtual machines, containers, storage providers, Microsoft 365, and applications running on-premises or in the cloud. Thanks to its small footprint, seamless integration into your existing IT infrastructure, storage, or enterprise backup providers is effortless.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

Storware 2026

The Structural Vulnerability of Plaintext Resolution

The Encrypted Lookup Loop

Strategic Drivers for Corporate DNS Hardening

Dissecting Modern DNS Encryption Protocols

1. DNS over HTTPS (DoH) – RFC 8484

2. DNS over TLS (DoT) – RFC 7858

3. DNSCrypt

4. Oblivious DNS over HTTPS (ODoH) – RFC 9230

Protocol Comparison Matrix

Implementation Complexities and Visibility Limitations

Unified Defense: Strengthening DNS Controls with NordLayer

The Mathematics of the Detection Gap

Why Legacy Scanners Fail Against AI-Driven Attack Pathways

The Paradigm Shift: From Probing to Pre-Calculated Asset Queries

Comparing Network Defense Philosophies

Continuous Attestation and Risk Prioritization

What are the strengths of ESET MDR services according to KuppingerCole Analysts?

ESET Managed Detection and Response

Provides 24/7 cybersecurity protection, combining cutting-edge AI with human expertise to create a solution that never rests.

The Engineering Approach to Compliance ManagementA Practical Security and IT Roadmap for Transforming Regulatory Obligations into Continuous Operational Controls

Deconstructing the Compliance Lifecycle

Why Continuous Compliance Dictates Business Velocity

Anatomy of a Modern Compliance Architecture

The Baseline Architecture

Navigating the Global Framework Landscape

The Operational Lifecycle: Step-by-Step Execution

Root Causes of Compliance Failure

Tactical Best Practices for Security Engineers

1. Implement a Single-Control, Multi-Framework Mapping Strategy

2. Decouple and Automate the Evidence Ingestion Architecture

3. Anchor Compliance directly to Root Access & Password Controls

4. Enforce Phishing-Resistant MFA and Secure Workload Identities

Looking Ahead: The Shift to Continuous, Real-Time Attestation

The Structural Identity Shift

1. The Functional Building Blocks of an Agent

2. Deconstructing the Entra Agent ID Hierarchy

The Blueprint Tier (Templates & Core Security)

The Instance Tier (Acting Personas)

3. Token Exchange and Authentication Mechanics

Operational Authentication Flows

4. Governance, Authorization, and Shadow Access Vectors

The Threat Model: Inheritable Permissions and Permitted Dangerous Scopes

5. Generational Distinctions and the Evolution of the Registry

The Paradigm Shift in Non-Human Workloads

The Structural Challenge of Decentralized Update Tracking

Operational Execution: The New Framework Core

Advanced Patch Capabilities for Mac Admins

Centralized Telemetry: The OS Update Overview Dashboard

Balancing Enterprise Compliance with End-User Productivity

Streamlined Migration Architecture

Scale Enterprise macOS Governance Natively

Defining the Adoption-Control Gap

Autonomous Action Vectors: Moving Beyond Single-Purpose Silos

The Critical Recovery Muscle Atrophy

The Real-World Architectural Concerns Facing CISOs

The Enterprise AI Anxiety Matrix

Designing the Path to True Structural Control

Is Your SaaS Recovery Optimized for the Speed of AI?

Architectural Prerequisites for 2026 AI DLP Compliance

Comparative Capabilities Matrix

Deep-Dive Market Evaluation

1. dope.security: Architectural Leader in AI DLP

2. Microsoft Purview: Dominant Option for M365 Co-Centric Environments

3. Netskope: Competent Platform Extension for Legacy SSE Estates

4. Zscaler: Scalable Data Control for Established Enterprises

5. Nightfall AI: Specialized Browser Redaction Point Tool

The Operational Deployment Equation

Harden Your Generative AI Footprint

The Shift from Availability to Active Survivability

Regulatory Reframing: Assuming the Systemic Breach

Cyber Insurance as an Infrastructure Architect

Hypervisor Independence: Navigating the Post-VMware Era

Hardened Linux: Eliminating the Architectural Foothold

The European Jurisdictional Paradigm and Data Sovereignty

Frequently Asked Questions

What defines a cyber-resilient backup platform?

How do DORA and NIS2 regulations impact data backup?

Why does OpenStack pose a challenge for traditional backup tools?

Does the U.S. CLOUD Act affect data physically stored within the EU?

Evaluate Your Operational Resilience Under Real Pressure

What are the strengths of ESET MDR services according to
KuppingerCole Analysts?

Provides 24/7 cybersecurity protection, combining cutting-edge AI
with human expertise to create a solution that never rests.