Reconstruct AI Incidents End to End
Replay prompts, outputs, and tool calls with investigation-ready evidence.
AI Incidents Leave Scattered Evidence
AI interactions span prompts, retrieval, outputs, and tool calls, but the evidence is often fragmented across systems.
No Unified Timeline
Prompts, retrieval context, outputs, and actions land in different logs, so the incident has no end-to-end replay.
Missing Tool Context
Tool calls and agent actions are not consistently captured with parameters, identity, and policy context.
Alerts Lack Decision Context
Alerts often miss which policy ran, what version was active, what was evaluated, and why it triggered.
Triage is Manual
Responders hunt across systems because AI incident evidence is fragmented and hard to reconstruct.
Correlate Sessions into Evidence
Sessions and alerts are correlated as an evidence packet for response.
A Single Record of What Happened
Capture AI session evidence and link it to a replayable timeline, so responders can scope impact and act fast.
Capture the Full Interaction
Ingest prompts, retrieved context, outputs, and actions across apps and models without relying on scattered app logs.
Link Evidence Across Systems
Correlate events by session and identity so responders can follow a single thread instead of pivoting across consoles.
Preserve Decision Context
Attach which policy ran, what was evaluated, and why it triggered so findings are explainable and audit-ready.
Route Evidence to Response Workflows
Send findings and linked context to SIEM, SOAR, or ITSM so investigation and response happen in existing processes.
Make AI Incidents Explainable
Move from scattered logs to a single incident narrative you can replay, verify, and export.
Session Replays
Rebuild the timeline across prompts, retrieved context, outputs, and actions so responders can see the full chain, not isolated events.
Tool Call Forensics
Trace which tools were invoked, in what order, and what inputs and results were involved.
Evidence Export
Package findings and linked context for incident workflows and reporting, including SIEM, SOAR, and ITSM handoffs.
Root-Cause Analysis
Explain why a violation occurred and what changed across rules, models, tools, or context so teams can remediate and prevent repeats.
The Missing AI Session Layer
Stop stitching systems together. ThirdLaw links prompts, retrieval, outputs, and tool calls into one view.
Session Timeline, Not Log Hunting
Reconstruct prompts, context, outputs, and actions as one linked session record.
Decision Context Attached
Preserve which policy ran, what version was active, what was evaluated, and why it triggered.
Cross-System Correlation
Follow one thread across the AI app, retrieval, model, and downstream actions.