Insider Threat Management
Traditional security tools detect activity, but lack the context to understand what data is involved, who should have access, and when behavior becomes risky.
EDR and SIEM platforms generate events. Kriptos enriches them with data sensitivity and user context, enabling SOC teams to distinguish normal activity from real insider risk.
The result is alert fatigue, missed insider risk, and security teams reacting too late.
Kriptos combines UEBA (User and Entity Behavior Analytics) with data intelligence
to detect insider risk early — without replacing your existing security stack.
Kriptos builds a data-centric risk profile for every user by correlating behavior,
access patterns, and sensitive data exposure — not just events.

Dynamic risk scores calculated using:
Outcome: Quickly identify the ~5–10% of users that
typically account for the majority of sensitive data risk.
Kriptos detects early signals that commonly
precede insider incidents, including:
Kriptos exposes insider risk intelligence through a secure API that enriches
existing security workflows with data sensitivity and user-risk context —
turning security events into actionable insider risk insight.

Enrich SIEM and SOC workflows with data sensitivity and user-risk context for accurate insider risk prioritization.
Provide analysts with immediate, actionable business context — without changing tools or processes.

Gain clear visibility into user risk, behavioral patterns, and sensitive data exposure — with seamless integration into your existing security workflows.
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