Make your AI agents audit-ready
in 90 days.
For AI engineering leads whose agents are in production but whose next audit is not.
Built on the same mechanism CISOs asked for: trace, identity, and audit correlated at write-time.
You shipped the agents. Now you own the answers.
Curatoz is built for engineering leaders who need to answer for what their AI agents are doing.
AI Engineering Leads
At growth-stage companies with agents already shipped to production.
Heads of AI Platform
Preparing for enterprise customer security reviews within the next quarter.
Chief AI Officers
Accountable for governance evidence to the board and to auditors.
Compliance Leads
Whose next audit now explicitly includes AI systems in scope.
Security Architects
Retrofitting governance onto shipped agent fleets without rewrites.
Four questions. Four answers. One platform.
Every AI agent action generates four questions from auditors, customers, and boards. Curatoz makes sure you can answer all four.
Complete visibility
Know exactly what every agent in your environment is doing, right now. Including the shadow agents your engineers didn't tell you about.
Verifiable identity
Every agent action tied to a named human owner and a cryptographic identity that survives an audit.
Enforced guardrails
Policies block unauthorized agent actions in real time, in the hot path, before harm happens.
Provable audit trail
Generate compliance evidence in minutes, not weeks, mapped to NIST AI RMF and EU AI Act.
A look inside Curatoz.
Discovery, agent fleet, event stream, and skill scanning — one unified control plane.
From "we don't know" to audit-ready in 90 days.
Three steps. No rewrites. No infrastructure changes. Compatible with LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK, and Microsoft Agent Framework.
Discover
We map every agent in your environment, including the shadow agents your engineers didn't tell you about.
Govern
We install identity and policy enforcement in the hot path, without changing your agent code.
Prove
Your compliance evidence generates on demand. Auditors get answers. You stay focused on shipping.
Not observability. Not identity. Both, unified.
Most teams stitch three tools together. The data models never connect. Curatoz was built the other way.
Unified at write-time, not stitched at query-time
Trace tool + identity tool + custom audit scripts. Every trace carries agent identity. Every identity carries trace history. One query answers what happened, who did it, and whether it was allowed.
Identity-first architecture, not a bolt-on
Observability tools adding identity as a feature. Incumbents are catching up on identity. That's a 12–18 month window we use to lock in design partners and ship the audit ledger format that becomes the standard.
Framework-native from day one
Generic instrumentation that misses agent semantics. Built for LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK, and Microsoft Agent Framework. No abstraction layers. No brittle wrappers.
Questions we hear from engineering leads.
How fast can we get started?
Do we need to rewrite our agent code?
What about our existing observability tools?
How do you handle our data?
What if we already deployed agents without any governance?
What compliance frameworks do you support?
What happens if we outgrow the design partner tier?
What audit-ready looks like
in your first phase.
You know exactly what every AI agent in your environment is doing. Shadow agents surface. Identity gets attached to every action.
Policy enforcement blocks unauthorized behavior in real time. Alerts route to your existing Slack, email, and PagerDuty channels.
Audit evidence generates in under five minutes. You stop being the leader who blocks AI deployments and become the one who ships them safely.