🏷️ Data Classification

Automated Labeling & Sensitivity Management

Comprehensive data classification with AI-powered labeling, multi-level sensitivity, and automated policy enforcement for data governance.

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Auto Classification
4-Level Sensitivity
Real-Time Labeling
Policy Enforcement

🏷️ Data classification organizes data by sensitivity level enabling appropriate security controls and compliance. Our AI-powered platform uses machine learning for automated labeling and pattern recognition.

Implement multi-level data classification with standard tiers: Public (unrestricted), Internal (employees only), Confidential (restricted access), and Restricted (highly sensitive). Apply automated classification based on content, context, and metadata with ML models trained on organizational data. Enforce classification policies with DLP integration, access controls, and encryption requirements tied to sensitivity levels.

From discovery to remediation, our platform automates data classification workflows. Deploy with visual labels, metadata tagging, and policy-based controls to ensure consistent data handling across the enterprise.

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Classification Levels

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Automated Classification

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Labeling & Metadata

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Policy Enforcement

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Discovery & Inventory

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Governance & Compliance

Why Choose Data Classification?

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AI-Powered Automation

Automatically classify data at creation and rest using ML-based content analysis.

Real-Time Labeling

Apply sensitivity labels instantly as data is created or modified.

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Consistent Taxonomy

Standardize classification across all systems with centralized policy management.

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Security Controls

Enforce encryption, access controls, and DLP policies based on sensitivity level.

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Visual Indicators

Clear labels, watermarks, and headers identify sensitivity at a glance.

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Discovery Scanning

Automatically discover and classify untagged data across the enterprise.

Compliance Support

Map classifications to regulatory requirements (GDPR, HIPAA, PCI DSS).

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DLP Integration

Prevent data loss by blocking inappropriate sharing of classified data.

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Risk Visibility

Identify where sensitive data resides and assess exposure risk.

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User Awareness

Educate employees on proper handling through clear classification labels.

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Lifecycle Management

Apply retention and disposal policies based on data classification.

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Analytics & Reporting

Track classification coverage, user compliance, and sensitivity distribution.