Meaningful analytics

Identity and trust detections

Detection engineering turns correlated signals into explainable detection patterns tied to an owned risk and response.

Privilege and administration

Potential patterns include unexpected administrator assignment, privileged activity outside expected hours, abnormal application administration and excessive entitlement change.

Sign-in and access anomalies

Potential patterns include atypical sign-in location or device, impossible-travel-style anomalies, and unusual application access outside an identity’s established pattern.

Recovery and verification

Unusual identity recovery, repeated failed verification or a material change to verification policy may justify investigation when combined with business context.

Delegation and external parties

Unauthorised delegation, high-risk authority, access outside policy, stale privilege and unusual external-party activity can expose governance gaps.

Credential lifecycle

Issuance anomalies, revocation spikes, status publication failures and trust-configuration changes can indicate operational failure or suspicious behaviour.

Patterns, not product promises

These are candidate analytics produced through detection engineering. Each detection needs available telemetry, a tested baseline, tuning, ownership and a proportionate response. They are not claims of prebuilt or guaranteed detection.

Apply the model

Make the signal actionable.

Start with the risk, available telemetry, accountable owner and proportionate response.

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