Auditable agent context for regulated teams.

In a regulated environment, "the AI changed it" is not an acceptable answer. Every decision that shapes your systems needs an owner, a timestamp, and a reason a reviewer can inspect. Most AI tooling gives you the opposite: context that lives in a context window, evaporates at the end of a session, and leaves no trace of who told the model what.

CTXone treats agent context the way you already treat code and records — with provenance, gates, and residency. It's self-hosted by design, so the data stays where your policy requires it.

Provenance on every write

Writing to memory is a commit: agent ID, user, timestamp, intent, and reason. ctx blame answers "who told the model that?" and ctx why-did-we traces a decision's full chain before anyone reverses it. On Enterprise, these become exportable, tamper-evident audit bundles you can hand to a reviewer.

Gates on sensitive paths

Not every path should be freely writable by an agent. CTXone's taint system codifies that as policy: mark a path taint to require review, quarantine to block automated writes entirely, or watch to track changes. A confidence check decides whether a given agent may write at all.

Governed at org scale

• Multi-tenancy + RBAC. Isolate graphs by team or business unit; control read, write, branch, and merge by role.
• SSO / SAML. Authenticate through your existing identity provider — no separate accounts to provision or offboard.
• Data residency & compliance support. Deploy where your data must live, with support for HIPAA-, SOC 2-, and GDPR-aligned operating requirements.

Who it's for

Organizations in compliance-forward industries — healthcare, financial services, regulated public sector, large SaaS — putting AI agents into real internal workflows, where governance and auditability are a precondition, not an afterthought.

Next: CTXone Enterprise overview  ·  Provenance, explained  ·  All use cases