Compliance-ready AI audit logs
AI Audit Trail for Every AI and Agent Decision
PromptHalo logs each decision inline with its reason, the acting agent, session context and a timestamp, so you can replay what happened and prove it.
- Logs the reason, agent identity, session and timestamp
- Append-only and tamper-evident once written
- Mapped to OWASP LLM Top 10, NIST AI RMF and EU AI Act
Deploys in under a day. No model retraining and no code rewrite.
See your AI audit trail in action
Tell us about your AI apps and agents. We will show how decision-level logging works in your setup.
Why teams pick PromptHalo for AI audit logs
Evidence, not guesswork
Each record keeps the decision, the reason, the acting agent or passport identity, the session and tenant context and a timestamp.
Tamper-evident by design
The log is append-only. Once an event is written, it cannot be changed or removed, so your trail stands up to review.
Covers agent actions, not just chat
Decisions are recorded inline on every inference, tool call and agent-to-agent handoff, in under 100ms per action.
Mapped to the frameworks you report on
Logs are mapped to OWASP LLM Top 10, NIST AI RMF and the EU AI Act, so security and compliance teams work from one trail.
Live in under a day
Connect by API gateway, agent mode or inline middleware. No model retraining, no code rewrite, and we never touch your models.
Replay any incident
Export for compliance or replay a session to debug what an agent did and why it was allowed, restricted or denied.
What lands in every audit record
PromptHalo sits inline on your AI traffic. For each action it decides allow, restrict, challenge, deny or monitor, then writes that decision and the reason behind it to a compliance-ready log. Because enforcement happens at the point of action, the trail shows what was stopped before it ran, not just what happened after.
The same log serves three jobs: debugging for engineers, investigation for security, and export for regulatory reporting. It works across any AI application from any vendor, without access to your proprietary models.
- Decision, reason, acting agent or passport identity, session and tenant context, timestamp
- Append-only and tamper-evident, so records cannot be edited or deleted
- Allow, restrict, challenge, deny or monitor captured for every action
- Covers inference, tool calls and agent-to-agent handoffs
- Replayable for debugging, compliance export and post-incident investigation
- Mapped to OWASP LLM Top 10, NIST AI RMF and the EU AI Act
- Deploy by API gateway, agent mode or inline middleware SDK
- Model- and vendor-agnostic, with no access to your models required
What happens after you ask
Tell us about your AI stack
Share the AI apps, agents and tool calls you need on the record, plus the frameworks you report against.
See a live decision log
We walk through real audit records: the decision, the reason, the agent identity and the session context.
Plan your rollout
Pick API gateway, agent mode or inline middleware, and we map the logging and policies to your requirements.
Frequently asked questions
What is captured in each audit entry?
Every decision is stored with its reason, the acting agent or passport identity, the session and tenant context, and a timestamp. The outcome of each policy decision, such as allow, restrict, challenge, deny or monitor, is recorded too.
Can the logs be altered later?
No. The log is append-only and tamper-evident, so once an event is written it cannot be modified or removed. That is what makes the trail replayable as evidence.
Do you need access to our models?
No. PromptHalo works without access to the underlying model and is model- and vendor-agnostic, so there is no model retraining and no code rewrite.
How long does it take to get logging running?
Deployment takes under a day. You can connect through API gateway integration, agent or orchestration mode, or an inline middleware SDK. All three feed the same inspection and enforcement pipeline.
Does the trail cover agent tool calls or only chat responses?
It covers every inference, tool call and agent-to-agent handoff. Unsafe or out-of-scope tool and API calls are blocked before they execute, and that decision is written to the log.
What does it cost?
Pricing is not published. Tell us about your AI applications, agent volume and compliance requirements and we will scope it with you on the call.
Do you log email, endpoints or other non-AI systems?
No. PromptHalo is built for the AI and agentic attack surface. Traditional network, endpoint and non-AI DLP logging is outside what we do.
Put every AI decision on the record
Get a decision-level, tamper-evident audit trail across your AI apps and agents, mapped to OWASP LLM Top 10, NIST AI RMF and the EU AI Act. Tell us about your setup and we will show you the logs.
- Logs the reason, agent identity, session and timestamp
- Append-only and tamper-evident once written
- Mapped to OWASP LLM Top 10, NIST AI RMF and EU AI Act