AI Incident Investigation
AI incidents need AI-specific evidence. SuperAlign provides the cross-layer telemetry that traditional security tools don't capture.
What makes this hard
Traditional tools don't capture AI activity
SIEM and EDR tools don't record which AI tools were active, what data they processed, or what agents were running — leaving a critical forensic gap.
AI incidents span two layers
A complete investigation requires knowing what was installed on the endpoint and what data left via the network. Most tools only see one layer.
No authorized baseline to compare against
Without a continuous AI asset inventory, investigators cannot establish what was authorized versus unauthorized at the time of the incident.
How SuperAlign
solves it.
Surface records what was installed on each endpoint — risk score, governance status, and configuration at the time of the event. Radar provides the network timeline of what data left and where it went. Together: complete cross-layer incident reconstruction without manual correlation.
See it live →Key outcomes
AI-specific telemetry
Fills the forensic gap left by SIEM and EDR tools not built for AI.
Endpoint state at event
Surface records asset status and configuration at the time of the incident.
Network traffic history
Radar provides AI traffic logs for tracing exactly what data left and where.
Reportable evidence
Cross-layer findings suitable for post-incident review and regulatory reporting.
Ready to see your AI exposure?
Get a comprehensive view of your AI risk in under an hour. No agents, no endpoint changes required.
Request a demo →