Why teams switch
Audit logging for agent systems is not just about collecting text. Teams need records they can inspect, replay, and connect to real execution behavior. Foxhound makes those records more useful when something goes wrong.
Keep decision history usable
Structured observability records help teams understand what happened and when, rather than just proving that something ran.
Support incident review
Replay and trace inspection make postmortems more concrete and less dependent on human memory.
Improve accountability
Foxhound helps teams keep a more inspectable operational trail around agent behavior, debugging, and access review.
Frequently asked questions
What should AI agent audit logs include?
At minimum: execution path, tool usage, model interactions, timing, state transitions, and access-related context that supports review after an incident.
How are audit logs different from observability?
Audit logs emphasize evidence and reviewability, while observability emphasizes understanding system behavior. In agent systems, the two overlap heavily.
Can Foxhound help teams investigating a customer-facing failure?
Yes. It is particularly useful when teams need structured evidence about what the agent did and why a failure unfolded the way it did.