Unifying AI Data Discovery and Persistent Security: The GEODI and SealPath Integration

The Mechanics: A Seamless Pipeline from Discovery to Defense

This integration eliminates the gap between knowing your data and protecting it. GEODI actively hunts down and categorizes sensitive data, and SealPath instantly enforces security policies based on those exact categories. It is a unified, hands-free workflow.

• Intelligent Scanning: GEODI harnesses artificial intelligence, semantic analysis, and natural language processing to thoroughly scan both structured and unstructured data across on-premises servers and cloud environments.
• Automated Tagging: Once sensitive data is identified, GEODI’s Classifier injects specific metadata labels directly into the files, providing crucial handling context.
• Instant Shielding: SealPath detects these metadata tags within PDF and Microsoft Office files. Without any manual input from the user, it immediately maps the label to a pre-defined security policy, applying persistent encryption and strict usage rights.

Ultimately, GEODI answers what your sensitive data is and where it lives, while SealPath ensures that the protective barrier stays firmly attached to the file—whether it is emailed, downloaded, or shared externally. Administrators retain the power to set dynamic watermarks, dictate expiration dates, monitor access attempts in real-time, and remotely detonate (revoke) access even after the file has left the corporate network.

Why This Changes the Game for Enterprise Security

True data security is a two-sided coin: you need profound intelligence to find the risks, and unyielding enforcement to neutralize them. Organizations struggle when these two concepts are disconnected. Having visibility is useless without scalable controls, and security controls fail if they evaporate the moment a file leaves the corporate repository.

By merging these capabilities, CISOs, IT directors, and privacy officers gain a massive operational advantage:

• Complete Visibility: A clear, contextual map of the entire data estate.
• Reduced Friction & Human Error: Automating the classification and protection process completely removes the reliance on end-users to “do the right thing.”
• Uncompromising Control: Intellectual property, financial records, and PII remain cryptographically secured during all internal and external collaborations.

Future Roadmap: What Lies Ahead

The initial launch of this integration successfully pairs GEODI’s metadata classification with SealPath’s automated protection for PDFs and Microsoft Office documents. However, this is just the beginning.

Based on evolving market demands, DECE Software and SealPath are already exploring future expansions, which may include:

• Support for LibreOffice metadata.
• Integration with NTFS Alternate Data Streams (ADS).
• Advanced endpoint classification and protection routines.
• Native Microsoft Outlook and email workflows.
• Custom protection pipelines utilizing dedicated APIs and SDKs.

Ready to Bulletproof Your Data Journey?

The synergy between GEODI’s AI-driven intelligence and SealPath’s persistent encryption establishes a closed-loop system to discover, classify, control, and audit your most critical assets. Contact DECE Software or SealPath today to discover how this integration can revolutionize your organization’s data security posture.

SealPath Elevates CAD Security with New Microsoft Purview Monitoring Dashboard and Expanded 2026 Software Support

MADRID, SPAIN — July 27, 2026

“An enterprise AI agent must not formulate its answers based on everything it is technically capable of finding. It must formulate responses exclusively from the data assets the querying identity is explicitly authorized to view.”

Why Localized Isolation Beats Basic Indexing

A common architectural misstep is relying on simple repository synchronization—indexing broad shared drives and leaving information filtration to the AI system itself. Without an independent, auditable cryptographic boundary, the runtime engine risks amplifying preexisting permission creep across the enterprise.

This challenge is recognized by industry standards like Microsoft 365 Copilot, which emphasizes that intelligent retrieval must respect identity-based access boundaries at the runtime layer. True data security requires shifting the core query from an unstructured search to a permission-validated request:

Architectural Overview: The SealPath SDK Validation Loop

The SealPath SDK introduces an automated enforcement layer directly between the autonomous agent and the underlying protected file matrix. By integrating permission checking directly into the retrieval-augmented generation (RAG) loop, the application verifies information rights before data content enters the model context.

The secure operational workflow follows a strict sequential lifecycle:

1. Prompt Ingestion: The human operator inputs an unstructured query into the enterprise AI interface.
2. Candidate Isolation: The agent queries its vector database or storage array to locate semantically relevant files.
3. Cryptographic Attestation: Before reading or chunking any protected document, the application calls the SealPath SDK interface.
4. Identity-Based Verification: SealPath verifies the querying user’s identity and checks their active permissions against the file’s security policy.
5. Context Ingestion: If authorized, the document is decrypted and its contents are passed into the model’s context window. If unauthorized, the file is excluded entirely.
6. Scoped Response Generation: The model generates an answer derived exclusively from authenticated, permission-compliant sources.

Granular Permission Evaluation at the Runtime Layer

Traditional access controls utilize a simple binary open/close decision. By contrast, the SealPath SDK enables enterprise applications to analyze the exact usage parameters associated with a file before it is leveraged by an autonomous pipeline. The application can dynamically evaluate multiple security variables in real time:

• Decryption Clearance: Confirming if the specific user context possesses the cryptographic keys to open the file.
• Functional Micro-Permissions: Checking if the active identity is restricted from copying content, printing pages, or editing fields—allowing the application to limit data chunking accordingly.
• Temporal Boundaries: Validating if the document’s access window has expired or if permissions have been unilaterally revoked.

If an unauthorized user requests an analysis of an unvetted document, the system excludes the file from the RAG cycle, allowing the agent to respond securely: “Based exclusively on the documentation you are authorized to access, the available information states…”

Neutralizing the AI Oversharing Multiplier

Oversharing—the exposure of corporate data to excessive users over inappropriate timelines—is a long-standing data governance challenge. Historically, an overexposed document often remained secure simply through obscurity, buried deep within nested network shares. AI eliminates this security by obscurity. An agent can discover, aggregate, and display an overexposed file in seconds.

The SealPath integration addresses this vulnerability by ensuring that protection travels with the file itself. Whether a file is downloaded, renamed, copied to an external drive, or moved into a different data tier, its cryptographic boundaries remain intact. If an identity cannot open the document manually, the agent cannot use the document to formulate an answer for that identity.