Discovery scans are open for pilot groups

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.

01The challenge

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.

02The solution

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.

03What you get

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.

Day 1Endpoint sensor and browser extension pushed through Jamf or Intune. First results within the hour.
Week 1Full inventory with risk scores, plus one session reconstructed end to end.
Week 2Findings review against criteria you set before we started.
CostNothing. The findings are yours either way.