Access Trail

Cyera Access Trail is a data access auditing and monitoring solution that captures every interaction with sensitive data across humans, systems, and AI agents. It combines deep, AI-native data classification with identity context to show who accessed what data, when, how, and why, delivering a complete, continuous activity trail. This enables security and compliance teams to understand data access in real time, investigate incidents quickly, enforce least-privilege, and support audits with automated, verifiable evidence rather than manual logs.

Access Trail fills visibility gaps that traditional tools leave behind by tracking actual access events, not just permissions. With one-year retention of detailed access logs, teams can generate audit-ready evidence, demonstrate compliance with regulatory requirements, and replace manual reporting processes with automated workflows. It also helps detect insider misuse, uncover excessive rights, and show how AI tools interact with sensitive data, giving security leaders the proof they need for control effectiveness and governance.

Modern environments include both human users and AI systems that interact with data. Access Trail tracks and logs every access event from AI tools and autonomous agents, correlating those actions with data sensitivity, ownership, and business context. This lets security teams see how generative AI and automation platforms consume or transform sensitive data, identify risky behaviors or misuse, and ensure AI interactions follow compliance and governance policies. Monitoring AI access in context is critical as adoption accelerates and blind spots widen in complex data ecosystems.

Access Trail supports core security and governance functions including insider risk investigations, audit readiness, continuous compliance, access rightsizing, and data ownership validation. It lets teams rewind historical activity to investigate incidents, detect abnormal access patterns in near real time, and automatically correlate events with contextual data like location, retention settings, and sensitivity. It also surfaces unused entitlements for least-privilege enforcement and helps minimize data sprawl by showing actual usage versus theoretical access.

Unlike basic access logs, which often lack business context, data sensitivity, and identity correlation, Access Trail automatically enriches raw activity with classification and identity insights. This transforms millions of events into actionable intelligence, reduces false positives, and provides an auditable, continuous view of data interactions. Traditional tools typically offer point-in-time snapshots, while Access Trail persists a full year of detailed activity, enabling faster investigations, stronger governance, and continuous assurance rather than periodic checks.