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Metadata Classification Solution for Defence

Client

Defence – Classified Program

Challenge

Defence agencies are responsible for managing vast repositories of highly classified information. Current metadata tagging and classification processes are largely manual, leading to:

  • Inconsistent application of Defence classification policies across documents and data repositories.

  • High analyst workload and resource drain in applying metadata at scale.

  • Reduced discoverability and slower retrieval of sensitive information under role-based access models.

  • Increased compliance risk due to human error in classification processes.

A solution was required to introduce automation without compromising the security and sovereignty of Defence data.

Azooa’s Proposed Solution

On-Prem LLM Deployment

Azooa proposed a large language model (LLM) deployed fully on-premise within Defence’s secure environment. This ensures that sensitive and classified data never leaves the air-gapped Defence network.

Automated Metadata Classification

The solution design included:

  • Automated metadata extraction from structured and unstructured Defence data.

  • Classification mapping to Defence standards (e.g., PROTECTED, SECRET, TOP SECRET).

  • Embedded policy engine incorporating Defence’s Information Security Manual (ISM) and project-specific business rules.

Human-in-the-Loop Validation

Recognising the mission-critical context, the proposal included a human-in-the-loop assurance model:

  • Analysts could review and override model outputs.

  • Feedback loops would allow the LLM to continuously improve classification accuracy.

Security and Integration

The classification engine was designed to integrate with Defence’s document repositories and access control systems, enabling:

  • Automated metadata-driven role-based access enforcement.

  • Enhanced search and retrieval for classified records.

  • Comprehensive audit logs for compliance and assurance.

Anticipated Benefits

If implemented, Defence would achieve:

  • Consistent and accurate metadata tagging, reducing the risk of misclassification.

  • Reduced analyst workload, freeing resources for higher-value intelligence and operations.

  • Improved compliance and auditability, aligned with ISM and Defence security frameworks.

  • Secure AI enablement, with a sovereign, on-premise model that never exposes data outside classified environments.

Why Azooa

Azooa brings deep expertise in Defence ICT, AI integration, and classified system delivery. By proposing an on-premise LLM-powered metadata classification solution, Azooa demonstrates how Defence can safely adopt AI to improve efficiency, security, and operational readiness.

Azooa – Secure AI solutions for Defence’s most complex challenges.

 
 

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