AI Activity
Tracking
Track and govern every AI
touchpoint on sensitive data
Make AI activity trackable,
traceable, and provable
AI tools can move sensitive data across the enterprise faster than security teams can track. Cyera Access Trail correlates AI activity to identity, data sensitivity, and business context. Built-in Data Lineage maps sensitive files end-to-end across AI workflows, so teams can validate exposure and respond fast.
Capture AI activity in context
See every AI-related access and sharing event in one place, enriched with identity, accurate data sensitivity, and business context to quickly understand and contain risk.
Investigate suspicious AI behavior, fast
Pivot from any AI identity to a complete trail of related activities to quickly understand what it touched, what changed, and downstream implications.
Demonstrate AI governance and compliance
Keep always on, verifiable evidence of how AI tools interact with sensitive data so compliance and internal governance teams can manage risk, validate controls, and enforce standards.
Stop AI-driven data sprawl
Trace how AI spreads sensitive files through copies, derivatives, and transfers. Investigate faster, contain exposure precisely, and cut downstream risk.

Cyera Named a Leader in The Forrester Wave™: Sensitive Data Discovery And Classification Solutions, Q2 2026
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FAQs
Modern AI time tracking platforms can be deployed in as little as five minutes, unlike traditional security solutions that require weeks or months of implementation. This rapid deployment allows organizations to start gaining insights and monitoring AI activities almost immediately, providing instant value and security visibility.
AI tracking specifically focuses on AI-driven data interactions, providing context about which AI tools accessed what data, when, and for how long. Traditional monitoring often lacks this AI-specific context and cannot correlate actions to the unique risks posed by autonomous AI systems accessing sensitive information.
Yes, AI tracking provides always-on, verifiable evidence of AI-related access to sensitive data, replacing manual compliance reporting with automated audit trails. This capability helps organizations meet GDPR, HIPAA, and other regulatory requirements by maintaining detailed records of how AI systems interact with protected information.



