Every other system in your enterprise keeps a log. Your AI — the one acting autonomously, touching data, making decisions — too often does not. So when a customer disputes an action, a regulator opens an inquiry, or data ends up where it shouldn't, you're left reconstructing what happened from memory. Autonomous AI without an audit trail isn't a productivity tool; it's an unbounded liability.
The problem: AI is a black box you can't investigate
An agent took an action. Which user was it acting for? Which model and tools did it use? Did a policy allow it, or did it slip through? Without a unified record, those questions have no answer — and "we're not sure what the AI did" is the worst sentence to say to a regulator, a customer, or your own board.
Why it matters to the enterprise
Audit is where accountability becomes real. It's what lets your SOC investigate an incident, your compliance team produce evidence, and your legal team answer "on whose behalf?" with certainty. It's also the connective tissue to the tools you already run: piping AI activity into your SIEM means your AI estate stops being a security blind spot and becomes part of the same monitoring as everything else.
If you can't explain what your AI did after the fact, you can't be accountable for it. Audit is what makes autonomous AI defensible.
How AuthSpoke does it
- Every action recorded — the initiating user and agent identity, the model used, the tools and MCP servers invoked, the policy outcome, severity and timestamp.
- Immutable & tamper-evident — a trustworthy record built for forensics and compliance, not a log you can quietly edit.
- Filter & investigate — search by action, actor, subject or severity; jump from an alert to the exact events behind it.
- Export to SIEM — stream or export (including CSV) into the security tooling you already operate.
- Privacy-aware — capture the metadata you need for governance without exposing sensitive prompt content.
Because every capability — agents, models, tools, policies, sessions — writes to the same event stream, Audit is a single, coherent timeline of your AI estate, not a dozen disconnected logs you have to stitch together.
What you get
- Immutable record of every AI action
- User · agent · model · tool · MCP context
- Policy outcome on every event
- Filter, investigate, replay
- SIEM & CSV export
- Forensics- and regulator-ready
Make every AI action accountable
Keep an immutable trail of what your AI does — and turn "we're not sure" into a query you can answer in seconds.