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Enterprise Security Architecture: Implementing Zero-Trust Frameworks for BYOD Environments

The Perimeterless Endpoint Paradigm

Operationalizing Zero-Trust Security Models for Personal Hardware in Enterprise Workspaces

Executive Briefing: The traditional boundary separating corporate assets from consumer endpoints has collapsed. Securing a Bring-Your-Own-Device (BYOD) deployment requires moving past static network-layer trust toward an architecture defined by continuous contextual verification, localized browser-level data loss prevention (DLP), and micro-segmented remote access layers.

Deconstructing Zero-Trust BYOD Архитектура

A zero-trust approach to BYOD completely removes the concept of implicit operational trust from employee-owned smartphones, tablets, and personal laptops. Instead of granting blanket network privileges simply because a device passes initial user authentication, a zero-trust architecture enforces ephemeral access controls. Every data request is assessed against a matrix of real-time variables to determine if the interaction complies with enterprise security baselines.

In traditional network setups, once a personal device completes a single sign-on event, it inherits broad visibility over internal corporate pathways. Zero-trust environments operate under an entirely different execution model, requiring continuous re-evaluation of specific, multi-layered telemetry vectors:

  • Identity Attestation: Verifying user authenticity through advanced multi-factor authentication (MFA) parameters.
  • Endpoint Posture State: Confirming the presence of active patch management, current operating system baselines, and operational endpoint protection.
  • Contextual Environment: Evaluating the user’s real-world location and network routing properties.
  • Role-Based Entitlements: Restricting data accessibility to the absolute bare minimum required for the user’s specific job function.
  • Systemic Policy Adherence: Verifying that the endpoint matches internal compliance configurations before allowing access to internal assets.

“The core axiom of modern endpoint governance is clear: proximity to an infrastructure asset does not imply permission to interact with it. We must transition from an architecture of network-level inclusion to one of micro-segmented, explicit exclusion by default.”

 

The Structural Collapse of Perimeter-Based Endpoint Defense

Legacy architectures were engineered under the assumption that corporate operations occurred entirely within a physical office structure. This obsolete model depended heavily on rigid network perimeters, dedicated corporate hardware configurations, and managed routing layers to isolate data. In the modern cloud-first landscape, these assumptions create systemic security blind spots.

Relying on traditional perimeter models introduces several critical flaws into modern distributed infrastructures:

  • Zero Visibility into Consumer Hardware: Enterprise IT teams cannot enforce rigorous management configurations on personal devices. When employees delay vital OS updates, run unvetted third-party software applications, or connect via unsecured public networks, compromised hardware can quietly cross historical boundaries undetected.
  • The Lateral Movement Trap: Legacy Virtual Private Networks (VPNs) grant endpoints broad network-layer visibility upon successful connection. If an attacker compromises a single over-privileged user credential or unmanaged device, they gain immediate lateral access to expansive segments of the internal asset catalog.
  • Exponential Attack Surface Proliferation: Every unvetted personal endpoint integrated into the company workflow represents a direct entry vector for credential theft, localized malware execution, and social engineering operations.
  • Policy Enforcement Inconsistencies: Managing corporate policy across varying client operating systems, mismatched browsers, and personal application configurations creates highly fragmented, exploitable environments.

 

The Technical Pillars of Zero-Trust BYOD Architecture

Achieving a resilient, enforceable zero-trust BYOD posture requires deploying multiple overlapping security layers designed to work in synchronization:

Architectural PillarOperational Execution MechanicStrategic Security Objective
Continuous Identity AttestationEnforcing context-aware Single Sign-On (SSO) loops and multi-factor validation throughout active application sessions.Mitigates the threat of credential harvesting and unauthorized session hijacking.
Granular Posture AssessmentReal-time programmatic vetting of system updates, active disk encryption, local browser extensions, and jailbreak/root indicators.Isolates inherently vulnerable or structurally compromised devices from core application arrays.
Micro-Segmented EntitlementsRestricting application exposure strictly to the parameters required for active workflows via Least-Privilege Access Controls.Minimizes the network blast radius and blocks internal lateral threat movement.
Dynamic Contextual EvaluationConstantly measuring geographical shifts, atypical user behaviors, network risk profiles, and login times.Enforces fluid, adaptive security policies that react instantly to environmental anomalies.
Continuous Behavior AuditingOngoing logging and automated analysis of network data flows and endpoint interactions across all hardware states.Provides complete operational visibility to significantly accelerate threat detection and incident response timelines.

 

The Browser as the New Enterprise Runtime Layer

For the modern enterprise workforce, the web browser has effectively become the primary desktop interface. Critical daily activities—ranging from SaaS platform navigation to internal application configuration—occur entirely within a browser window. This technical shift means that robust data protection must begin directly at the application presentation layer.

Standard endpoint monitoring solutions frequently fail to capture malicious browser-based data exfiltration, particularly when executed on unmanaged hardware. Without application-layer controls, sensitive enterprise data can be easily transferred, downloaded, or shared through personal web applications. Applying zero-trust mechanics directly to the browser environment allows security teams to enforce precise operational parameters:

  • Enforcing strict, bidirectional restrictions on file uploads and downloads.
  • Systematically blocking high-risk, unvetted browser extensions.
  • Disabling clipboard manipulation actions like copy-and-paste for protected data tiers.
  • Isolating corporate application sessions inside a secure virtual container.
  • Providing complete telemetry into shadow IT application usage.

 

Tactical Blueprint: Enforceable BYOD Governance Checklist

Transitioning from an open BYOD environment to a resilient zero-trust posture requires a structured, multi-phase implementation plan:

  1. Establish Formal Governance Boundaries: Document a strict BYOD policy outlining acceptable usage requirements, compliance baselines, and legal boundaries.
  2. Enforce Pervasive Identity Attestation: Require contextual multi-factor authentication across all remote access points without exception.
  3. Instate Least-Privilege Baselines: Audit and restrict all user permissions to ensure application visibility is tightly mapped to specific job functions.
  4. Automate Device Vetting: Implement mandatory device posture scoring to screen out non-compliant systems before granting application access.
  5. Isolate Network Tiers: Deploy network microsegmentation to split core corporate resources away from unmanaged endpoint environments.
  6. Apply Browser Data Loss Prevention: Utilize sandboxed browser environments to control data interaction vectors for all cloud-hosted SaaS tools.
  7. Execute Periodic Audits: Run recurring validation schedules to test security posture policies, access rights, and response workflows against modern exploitation techniques.

 

Frictionless Governance: Secure BYOD Access via NordPass & NordLayer Solutions

Managing the fine balance between user flexibility and infrastructure control requires tools designed to embed zero-trust architectures natively into active enterprise operations. The NordLayer framework addresses this challenge by providing comprehensive, identity-centric access control alongside browser-level data protection.

  • Unified Identity Attestation: Native integration with leading Identity Providers (including Google Workspace, Entra ID, Okta, OneLogin, and JumpCloud) to enforce persistent Single Sign-On and MFA governance.
  • Network-Layer Micro-Segmentation: Replaces outdated legacy VPN systems with ZTNA-powered Role-Based Access Control (RBAC) and integrated cloud firewalls to eliminate unauthorized lateral exploration.
  • High-Grade Transport Encryption: Protects distributed traffic channels by routing connection streams through virtual private gateways using advanced AES-256 or ChaCha20 encryption frameworks.
  • Automated Device Posture Security (DPS): Programmatically checks the health and patch state of an endpoint before allowing network access. If a device fails compliance, access is automatically blocked without interfering with the user’s personal hardware assets.
  • Next-Generation Browser DLP Architecture: Features the specialized NordLayer Browser to provide comprehensive visibility into shadow IT, while actively blocking malicious copy-paste actions, unverified uploads, and unauthorized downloads at the data layer.

Secure your corporate data layer without compromising the user experience. Contact our network security architecture team to deploy enforceable zero-trust BYOD controls across your organization.

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.

Enterprise Risk Analysis: The Dual Frontier of AI Security and Threat Mitigation

The AI Security Paradox

Securing the Artificial Intelligence Ecosystem While Weaponizing Machine Learning for Cyber Defense

Executive Briefing: The exponential adoption of generative AI has created a highly volatile corporate attack surface. While these technologies unlock unprecedented automation and analytical speed, they simultaneously introduce profound systemic risks—ranging from accidental corporate data exfiltration to targeted model exploitation. Industry projections indicate that by 2027, poor governance of generative AI pipelines will drive more than 40% of all AI-related enterprise data breaches, transforming AI security into an immediate operational priority.

Deconstructing the AI Security Landscape

Modern enterprise security requires a precise separation between protecting artificial intelligence models and deploying them as defensive tools. Traditional cybersecurity remains the foundational framework for securing enterprise infrastructure—encompassing networks, cloud endpoints, directories, data states, and user access. Within this landscape, artificial intelligence divides into two separate operational mandates:

  • Security for AI (AI Security): Hardening the structural components of the AI ecosystem itself. This practice requires securing Large Language Models (LLMs), machine learning pipelines, training datasets, and API orchestrations against malicious manipulation, data poisoning, reverse engineering, and prompt injection vulnerabilities.
  • AI for Security (Cybersecurity AI): Leveraging machine learning algorithms to scale and accelerate defensive workflows. By automating deep threat parsing, telemetry analysis, incident triage, and vulnerability isolation, cybersecurity AI augments human security operations teams to counteract machine-speed exploits that are too fast or complex for manual triage.

“While AI Security preserves the confidentiality, availability, and integrity of your proprietary data models, Cybersecurity AI weaponizes automated analytics to disrupt adversarial infrastructure before a breach can mature.”


Strategic Drivers: Why AI Governance Dictates Business Survival

Because modern AI ecosystems must ingest massive quantities of internal enterprise records to deliver business value, they create highly integrated pathways into cloud datastores, identity provider directories, and sensitive intellectual property. Without enforceable boundaries, unmanaged interactions expose organizations to severe, cascading operational liabilities:

  • Data Custody Preservation: AI environments continuously ingest source code, corporate financials, and personally identifiable information (PII). Robust security frameworks insulate these repositories from unauthorized exfiltration and leakage into public training datasets.
  • Model and Pipeline Integrity: Machine learning models are inherently vulnerable to input tampering. Unverified code vulnerabilities can lead to manipulated training baselines or corrupted pipelines, causing autonomous systems to yield compromised, biased, or intentionally toxic outputs.
  • Service Availability Hardening: As businesses transition from static chatbots to autonomous, action-oriented AI agents embedded in daily workflows, these models become critical infrastructure. Hardening their operational boundaries minimizes the risk of adversarial downtime or automated service disruption.

Top Enterprise AI Security Risk Vectors

According to empirical breach telemetry, 13% of monitored enterprises have sustained a successful compromise intersecting their active AI models, with an alarming 97% of those incidents resulting from inadequate access controls. Software architects must defend against several emergent risk vectors:

Risk ClassOperational Attack VectorSystemic Enterprise Impact
Shadow AIPersonnel inputting proprietary source code or financial metrics into unvetted, public consumer LLMs.Creates immediate, unmonitored data leaks as corporate data is ingested into public training models.
Input ManipulationPrompt injection and adversarial input structuring designed to override default system instructions.Forces autonomous agents or customer-facing copilots to bypass security filters and leak internal system data.
Data ReconstructionMathematical extraction attacks targeting anonymized, aggregated training data.Enables adversaries to systematically re-identify personal records and proprietary raw information from model outputs.
AI-Powered PhishingLeveraging advanced LLMs and deepfake generative tech to orchestrate hyper-targeted social engineering.Completely eliminates traditional warning signs like poor grammar, generating highly convincing voice clones and lures.
Automated Brute-ForcingUsing machine learning to analyze leaked credential databases and predict human password mutation patterns.Launches high-velocity, predictive account takeover campaigns that easily bypass traditional firewall rules.
Agentic Privilege CreepGranting excessive write and modification permissions to autonomous internal AI agents.Transforms a single prompt injection vulnerability into an automated routine that can delete directories or alter records.

The CISO Checklist: 5 Core Pillars of AI Security Posture Management

Organizations utilizing automated identity controls and rigid data governance contain active breaches 108 days faster and reduce average incident costs by nearly 40% ($1.7 million saved per occurrence). Security leaders must enforce this structural framework:

1. Enforce Stringent Data Interaction and Model Inventories

Maintain a dynamic catalog of authorized enterprise AI platforms while establishing strict approval gates to block shadow AI usage. Implement strict data ingestion filters to prevent sensitive raw code or production databases from entering unverified model environments.

2. Deploy Phishing-Resistant Authentication Boundaries

As generative deepfakes and AI-crafted phishing lures achieve total behavioral mimicry, basic SMS or phone-based multi-factor authentication represents a critical point of failure. Enterprise entrance points must be anchored behind phishing-resistant MFA, FIDO2 passkeys, and centralized Single Sign-On (SSO).

3. Mitigate Algorithmic Password Guessing Natively

Enforce strict corporate credential hygiene. Eliminate predictable, human-created password patterns entirely by shifting password generation and storage to an encrypted, machine-orchestrated credential management architecture.

4. Restrict AI Agency via Granular Micro-Segmentation

Apply strict least-privilege access rules to internal copilots and autonomous agents. Never grant automated systems high-level administrative roles or the ability to mutate user directories, delete production buckets, or rewrite security parameters without mandatory human-in-the-loop verification.

5. Maintain Continuous Behavioral and Exposure Monitoring

Continuously log all model interactions, API behaviors, and prompt sequences to detect exploitation attempts early. Simultaneously deploy automated dark web scanning to cross-reference corporate domain identities against public data leaks, triggering immediate credential revocation before automated bots can exploit exposed access keys.

Neutralizing Automated Adversaries with NordPass for Business

As artificial intelligence scales the velocity and sophistication of automated credential attacks, protecting the enterprise requires removing human error from the authentication layer. NordPass provides the centralized architecture needed to fortify your access infrastructure against AI-driven threats:

  • Disrupting Predictive Brute-Forcing: By taking password creation entirely out of human hands, NordPass generates highly complex, mathematically random credentials that completely defeat AI pattern-matching engines.
  • Eradicating Credential Reuse: Secure, zero-knowledge vaulting removes the need for employees to memorize access keys, enabling administrators to enforce unique credential hygiene across every enterprise application.
  • Continuous Identity Exposure Telemetry: The integrated Data Breach Scanner operates continuously in the background, monitoring your corporate domains across threat indices. The moment an active corporate credential leaks into external channels, security teams receive real-time alerts to execute automated resets before automated AI bots can exploit the exposed session data.

Secure your access perimeters and eliminate credential vulnerability. Contact the NordPass enterprise architecture team today to harden your organizational security 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.

Threat Intelligence Briefing: The Industrialization of Cloud Phishing

Commoditizing the Cloud Breach

Strategic Analysis of Phishing-as-a-Service (PhaaS) Democratization and Token-Centric Exploitation

Strategic Briefing: The capital requirements for orchestrating enterprise-grade cloud compromises have collapsed. For a baseline subscription fee of $500, malicious actors can bypass advanced technical barriers to execute Adversary-in-the-Middle (AiTM) and OAuth device-code operations across premium cloud tenants like Microsoft 365 and Google Workspace. This shift represents the industrialization of deception architecture, changing the risk profile of modern identity perimeters.

The Skill Inversion

Turnkey cloud platforms have abstracted complex exploit design into standard point-and-click operations, allowing low-tier threat actors to bypass multi-factor authentication (MFA) natively.

SaaS Business Model

Mirroring the Ransomware-as-a-Service (RaaS) franchise structure, PhaaS separates elite backend software engineering from low-risk frontend deployment.

Token-Centric Target

Defensive paradigms must evolve beyond simple credential theft; modern campaigns focus heavily on intercepting session tokens and abusing OAuth device authentication states.

The Mechanics of Democratic Proliferation

The democratization of Phishing-as-a-Service represents a significant evolution in the cybercrime market, following a path similar to Ransomware-as-a-Service (RaaS). Attacks that once required specialized engineering teams and custom command-and-control infrastructure are now packaged into commercial subscription models accessible to non-technical operators.

Three primary structural pillars accelerate this current wave of mass compromise:

  • The Crime-as-a-Service (CaaS) Ecosystem: Following the operating models established by legacy ransomware syndicates like LockBit, modern PhaaS maintain a clear division of roles. Core engineering groups build and maintain the offensive infrastructure, while decentralised affiliates purchase access to run individual target campaigns.
  • Uncensored Large Language Models (LLMs): The integration of fine-tuned, uncensored open-source models (such as customized Llama frameworks) removes traditional language barriers. These tools automate hyper-personalized open-source intelligence (OSINT) harvesting, eliminate grammatical indicators of fraud, and programmatically generate polymorphic variants to bypass content security gateways.
  • Advanced Authentication Abuse Primitives: Modern toolkits prioritize token interception over traditional password harvesting. By hijacking legitimate identity authorization workflows—such as Microsoft’s native microsoft.com/devicelogin channel—attackers can bypass conditional access parameters and some traditional MFA implementations.

The Threat Imbalance: Threat intelligence indicators from 2025–2026 show that approximately 85% to 90% of high-volume phishing infrastructure is now driven by commodity PhaaS platforms, scaling threat operations at an industrial level.

Emerging Toolkits of the 2026 Threat Landscape

The current threat matrix is defined by rapid platform iteration, anti-analysis protocols, and deep integration with automated post-compromise frameworks. Rather than pursuing ephemeral access, these platforms focus on establishing persistent token residency.

Platform NameMarket IngressPrimary Exploitation VectorIntegrated AI Automation Layers
Kali365April 2026OAuth Device Code Abuse (Abusing native Microsoft device login channels)Automated lure generation, dynamic template matching, real-time telemetry analytics.
EvilTokensMarch 2026Hybrid AiTM Proxy meshes combined with Device Authorization Flow hijackingAutomated post-compromise mailbox triage, context-aware Business Email Compromise (BEC) scripting.
Whisper 2FAActive 2026High-velocity Adversary-in-the-Middle (AiTM) reverse proxy generationAdaptive phishing flows that alter presentation layer signatures in real time based on user agent sniffing.

Commercial Structures of the Cybercrime Market

PhaaS subscription models closely track legitimate enterprise software pricing tiers, with access to advanced capabilities restricted by subscription level:

  • Basic Tier ($100 – $300 / month): Standard static web templates, baseline reverse-proxy modules, and public community forum support.
  • Pro Tier ($400 – $800 / month): Full integration with uncensored generative AI models, polymorphic lure variation engines, and automated multi-vector evasion matrices.
  • Enterprise Tier ($1,000 – $3,000+ / month): Dedicated infrastructure pools, custom feature engineering, exclusive zero-day exploit pathways, and direct revenue-sharing operational models.

Post-Exploitation Lifecycle Automation

Once a session token or refresh token is successfully intercepted via an AiTM proxy or device authorization link, modern PhaaS toolkits execute automated scripts to ensure persistent access and control:

  • Automated Device Enrollment: The toolkit programmatically signs a new, attacker-controlled system into the victim’s tenant, blending in with standard enterprise onboarding activity to fulfill device-based Conditional Access policies.
  • Persistence Mechanism Implementation: Internal mailbox routing is altered using automated inbox rules, hiding outbound data flows and enabling quiet monitoring of internal communications.
  • Authentication Method Proliferation: Attackers register alternative MFA factors (such as rogue authenticator apps or SMS endpoints) under the compromised account identity to survive standard password resets.
  • Graph API and Data Exfiltration: Automated tools query Microsoft Graph or Google Workspace directories to extract high-value datasets from SharePoint Online and OneDrive, focusing on financial structures, active contracts, and internal credential vaults.

Forensic Deep Dive: Technical Signatures in Entra ID Logs

From an incident response perspective, an automated token-replay attack leaves subtle, distinct indicators across cloud audit logs. Review this simulation of typical attacker movement and log trails:

# Phase 1: Attack Broker Silent Token Redemption
Sign-in Status: Success
Application: Microsoft Authentication Broker
Resource: OfficeHome Gateway
Error History: 50199 (Conditional Access Transient Block) -> Resolved via immediate retry
MFA Attestation: “Satisfied by claim in token” (Indicates automated session replay via existing refresh token)# Phase 2: Device Code Flow Hijack Audit
Authentication Protocol: Device Code Flow
Target: Microsoft Graph API
User Agent Signature: Mobile App / Desktop Client combination running concurrently
Action: Silent extraction of secondary access tokens using pre-approved user authorization parameters

# Phase 3: Rogue Endpoint Workplace Join Simulation
Operation Type: Register device
Service Category: Device Registration Service
Enrolled Endpoint Client: Dsreg/10.0 (Windows 10.0.19045.2006)
Strategic Context: Attacker maps a new workstation into the tenant to appear as a compliant corporate asset

Defensive Countermeasures: Guardz ITDR Architecture

Defending against automated, machine-speed PhaaS operations requires security monitoring that can correlate identity indicators across different vectors in real time. Guardz Identity Threat Detection and Response (ITDR) is engineered to neutralize these highly automated attacks before lateral movement can occur.

Real-Time Session Revocation with Guardz

Guardz ITDR protects the enterprise perimeter by monitoring session data and identifying atypical access behaviors across the entire identity landscape:

  • Multi-IP Session Replay Detection: If a valid session is reused from an unrecognized IP address seconds after a legitimate interactive login, Guardz identifies the anomaly, flags the unusual use of the Microsoft Authentication Broker, and alerts security teams.
  • Cross-Vector Security Correlation: Guardz automatically links an initial Browser AiTM session replay event with concurrent device code requests, mapping the full attack chain to a single compromised identity profile.
  • Automated Containment: Rather than waiting for manual intervention, Guardz triggers automated session revocation playbooks the moment token theft is confirmed, invalidating compromised access states across the entire tenant structure.

Block commodity cloud compromise at the identity layer. Contact our identity protection engineers to deploy automated session security across your architecture.

 

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.