AI Agent Security · AI Governance
Know what your agents can do, and prove what they did
As agents multiply, the questions from security and audit get sharper: which agents exist, what can each one reach, who approved it, and how fast can we shut it off? We make Keycloak the place where those answers live.
- Inventory of agents and grants
- Policy decisions in one place
- Audit trail per agent
Standards & integrations
- OAuth 2.1
- Authorization Services
- OpenID CIBA
- Admin & login events
- SIEM integration
Overview
Governance is identity plus evidence
AI governance frameworks tend to come down to a handful of controls: know which agents exist and who owns them, limit what each can do, require human oversight for consequential actions, keep records, and be able to stop an agent quickly. Keycloak already provides the building blocks — clients, scopes, authorization policies, events and revocation. We turn them into a working governance model with ownership, reviews and reporting your risk and audit teams can use.
What we deliver
- Agent governance model with ownership and risk tiers
- Agent inventory managed as code
- Authorization policies for high-risk actions
- Human-approval flow for consequential operations
- Audit dashboards and SIEM integration
- Access review and emergency revocation runbooks
Capabilities
What AI Governance covers
Configured, tested and documented on upstream Keycloak — then handed over or operated by us.
Agent inventory
Every agent is a Keycloak client with its owner, purpose and risk tier recorded as attributes and managed as code.
Policy-based authorization
Keycloak Authorization Services, or your existing policy engine, decide which actions each agent may take, in one reviewable place.
Human in the loop
Consequential actions require a person's approval through OpenID CIBA before the agent receives a token to act.
Audit trail
Login and admin events stream to your SIEM, tying every token and configuration change to an agent, a user and an owner.
Regular access reviews
Owners review each agent's scopes and roles on a schedule, using reports generated from Keycloak's configuration.
A tested kill switch
Disable a client, revoke its tokens and rotate its credentials in minutes, following a runbook you've rehearsed.
How it works
From first call to production
Define the governance model
We agree risk tiers, ownership, approval rules and review cycles with your security, risk and platform teams.
Implement the controls
Inventory attributes, authorization policies, approval flows and event streaming are configured in Keycloak as code.
Operate reviews and reporting
Access reviews, dashboards and emergency revocation drills become a routine your teams can run without us.
Use cases
Where teams put it to work
Regulated industries
Financial services, healthcare and public-sector teams show auditors how agent access is controlled and recorded.
Company-wide copilot rollouts
Keep track of dozens of internal agents as teams build them, without losing sight of who owns what.
Third-party agents on your APIs
Vendors' and partners' agents reach your APIs with registered identities, limited scopes and a way to cut them off.
FAQ
AI Governance questions, answered
Does this replace an AI governance platform?
No. It covers the identity and access side — which agents exist, what they can reach and what they did. It works alongside tools that handle model evaluation, data governance or policy documentation.
How fast can we stop an agent?
Disabling its client blocks new tokens immediately, and with short token lifetimes anything already issued expires within minutes. We document and rehearse the steps with your team.
Can we see which agent acted for which user?
Yes. When agents use token exchange for delegated access, Keycloak events record both the agent's client and the user, and the same identifiers appear in your API logs.
Ready to roll out AI Governance?
Walk us through your requirements on a free strategy call. We'll come back with an architecture, a delivery plan and a fixed scope.