Reconstruct what an agent did, on the device and in the cloud.
AI Incident Forensics
Capture endpoint state at the time of an event, pull in cloud agent sessions, rebuild one cross-layer timeline, and export evidence you can report.
SIEM and EDR see the device. They don’t see the agent.
No record of AI activity
SIEM and EDR don’t record which AI tools were active, what data they processed or which agents were running.
Incidents span two layers
A full investigation needs what ran on the endpoint and what agents did on your cloud AI platforms. Most tools see neither.
No authorized baseline
Without a continuous AI inventory, investigators can’t tell what was authorized at the time of the incident.
How SuperAlign AI incident forensics works
What’s authorized today says nothing about last Tuesday. Surface records each asset’s risk score, governance status and configuration at the moment of an event.
Key outcomes
AI-native telemetry
Closes the forensic gap SIEM and EDR leave, with every AI session recorded.
TrackIncidents with a full session record
State at the time of the event
Endpoint status and configuration, plus the cloud agent’s actions, as they were when it happened.
TrackTime to establish authorization status
Reportable evidence
Cross-layer findings ready for post-incident review and regulatory reporting.
TrackIncidents closed with exported evidence
Give us two weeks.
We’ll show you what’s running.
Deploy on your MDM across 25–100 users. Keep the inventory, scored risk view, and a full session record—whether you buy or not.