What teams need to get right
- Capture action intent, policy checks, risk score, and final decision.
- Link parent tasks to downstream tool calls for complete lineage.
- Store immutable timestamps and reviewer identities for assurance evidence.
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AI agent audit trails
An AI agent audit trail should reconstruct what happened, why it happened, and who approved each critical decision without manual investigation.
How Stacksona helps
- End-to-end decision logging tied to policy evaluation outcomes.
- Queryable evidence model for compliance, security, and legal review.
- Consistent audit schema across agents, tools, and environments.
Why this matters now
As agent deployments move from prototypes to customer and operational workflows, governance needs to be embedded in execution paths. Teams that rely only on after-the-fact monitoring often discover risk too late.