Keep AI testing under
your team's control.
Set what agents can see, test, propose, and change. Every action is logged and requires approval where you define it.
RBAC
named approvals
SSO
SAML & SCIM
Audit
exportable logs
Policy
autonomy levels
How governance is enforced
Controls are architectural, not optional settings.
- 01 · RUNS · 24H
94% pass
12 runs across staging
- 02 · COVERAGE
84%
Across four modules
- 03 · ACTIVE RUNS
3 running
Live on this branch
- 04 · NEXT ACTIONS
Recommended
Triage gaps, new spec
- 01
Approval flows
Remediation and high-risk actions require explicit human authorization.
- 02
Autonomy levels
Define what agents may propose vs execute per environment.
- 03
Data boundaries
Scope what agents can read, store, and transmit.
- 04
Compliance evidence
Export audit records for SOC 2, ISO, and internal reviews.
- 100+ AI agents under your control layer
- System Graph maps dependencies before changes ship
- Audit-grade evidence for compliance reviews
Design your governance model
Work with our team to map policies, roles, and approval workflows to your organization.
- Designed for regulated environments
- No training on customer code by default
- Private deployment options
Keep remediation governed with human approval
Closed-loop reliability under policy gates. Proposed fixes pass scope checks, verification requirements, and human authorization before deployment.
Autonomous does not mean uncontrolled.