Audit Trails and AutoDoc for Model Compliance
- Observability
- H2O Driverless AI
- Enterprise h2oGPTe
This lesson covers how the H2O platform supports audit readiness when regulators or internal auditors come asking questions. It shows centralized audit logging that captures every user action, deployment, and configuration change with timestamps and context, plus full traceability for generative AI agent steps, including which tools an agent called and what data it accessed to reach a recommendation. It also covers AutoDoc as an automated way to generate model documentation, and how audit logs can be exported in formats like CSV or PDF, with retention policies keeping that data accessible even after a model is archived.
Key takeaways
- How centralized audit logging captures every user action, deployment, and configuration change with context
- Why generative AI agent steps need to be traceable, showing which tools and data led to a recommendation
- How AutoDoc generates model documentation automatically without extra manual effort from the team
- What happens to a model's documentation and audit trail after it is archived under a retention policy
Start owning your AI