Best Practice

Data Classification Agent

Our agent leverages artificial intelligence to read document content, understand its context, and compare it against company policies, taxonomies, and reference examples. The result is more consistent, scalable, and auditable classification.

THE CHALLENGE

Unclassified data, ungoverned risk.

Many organizations create and store thousands of documents across Microsoft 365, SharePoint, OneDrive, and corporate repositories. However, many of these files remain unclassified, unprotected, and difficult to govern.

When documents enter the corporate environment without sensitivity labels, they become harder to protect through DLP, encryption, access management, audit trails, and AI governance controls. In general, security policies work properly only when data is correctly identified and classified.

The real risk is not just having sensitive data, but not knowing where it is, how it is classified, and whether it is protected.

The problem is not only technical, but also regulatory and operational: GDPR, NIS2, DORA, and ISO 27001 require concrete evidence of the organization’s ability to identify, classify, and protect sensitive information.

Compliance risk

Difficulty in demonstrating adequate protection measures for sensitive and regulated data.

Security exposure

Confidential files may remain accessible in shared repositories without adequate restrictions.

Manual effort

Manual classification is slow, inconsistent, and dependent on user behavior.

AI oversharing

Incorrectly classified data can increase the risk of exposure in Microsoft 365 Copilot and enterprise AI scenarios.

The Solution

Classify and protect business data with artificial Intelligence.

Our Data Classification Agent goes beyond the limitations of traditional tools based on keywords, regex, and static patterns. It is a semantic AI solution for classifying business documents, capable of analyzing document content, interpreting context, and assessing the level of information sensitivity against corporate policies.

The agent supports security, compliance, and data governance teams in classifying large volumes of documents, with a consistent, scalable, and audit-ready approach:

  • Semantic Analysis
    Understands the content, structure, and context of the document, even when no obvious keywords or patterns are present.

  • Policy-Based Classification
    Compares documents against internal policies, classification taxonomies, business examples, and data ownership criteria.

  • Automated Labeling
    Suggests or applies the most appropriate sensitivity label, enabling protections such as DLP, encryption, and audit trails.

How does it work? From the repository to the label.

The Data Classification Agent transforms unclassified documents into governed, traceable, and protected assets. The process can operate in human-in-the-loop mode, with confirmation from an authorized user, or in automated mode after a validation phase.

The benefits

Greater coverage, less manual effort, improved auditability.

Complete search

Identification of unclassified or inconsistently classified documents within corporate repositories.

Reduction of manual effort

Automation of analysis and suggestion of the label, reducing the operational load on users, security team, and compliance team.

Consistent classification

Applying uniform criteria based on company policies, reducing errors, subjectivity, and inconsistent classifications.

Audit readiness

Production of reports and useful evidence to demonstrate the actions taken to support data protection.

AI governance

Reduction of the risk that sensitive content is accessible through Microsoft 365 Copilot and AI Enterprise.

Assess your current document exposure

Find out how many sensitive documents are at risk: run an assessment across your document repositories and identify unclassified files, inconsistent labels, and areas subject to compliance, security, and AI governance requirements.

Cluster Reply can support you with the most advanced Microsoft technologies!