Govern operational AI with confidence.
Opal makes governance and security foundational to deployment so you can scale AI with the controls enterprise environments require.
AI stalls when permissions, risk, and oversight are unclear.
AI adoption stalls when permissions, risk, compliance, and oversight are unclear. Governance built into the platform turns those questions into defaults.
From setup to live workflow.
- Step 01
Set identity and roles
Connect SSO, define roles, and decide who can view, edit, or launch work.
- Step 02
Apply policy globally
Configure guardrails, retention, and approval requirements across the platform.
- Step 03
Embed in workflows
Policies follow work into every flow, agent, and task automatically.
- Step 04
Review and prove
Use audit logs and reports to demonstrate control to auditors and stakeholders.
What Governance & Security help you do.
- 01Control who can view, edit, launch, approve, or administer work
- 02Apply policy and guardrails inside live workflows
- 03Maintain auditability across operational execution
- 04Support identity, secure configuration, and enterprise deployment needs
What teams actually see.
Confident risk posture
AI rolls out faster because the controls are not an afterthought.
Provable audit readiness
Every action is traceable to a person, role, and policy.
Aligned technology and business
Security teams and operators work from the same control plane.
Works with the rest of the platform.
See the full platformSupport trusted, governed operational AI at scale.
See how Opal helps you operationalize AI safely.