Governing AI Agents Like the Identities They Are
Your organization’s AI agents already hold credentials, invoke tools, and take consequential actions — with a fraction of the governance discipline you’d require of a human employee. AIdentity Governance closes that gap by extending proven identity governance practice to the newest class of principal on your network: the AI agent.
The Problem
Identity and access management was built around a quiet assumption: the principal is a person, or a system that behaves like one — predictable, with a fixed role, access provisioned in advance. AI agents break that assumption outright. An agent doesn’t have a role; it has a tool manifest, and it decides at runtime which tools to invoke, in what order, based on reasoning that is often not logged, not reproducible, and not fully inspectable. It can spawn sub-agents mid-task, each needing its own scoped trust. It can be redirected by adversarial content embedded in a document it was asked to summarize — with no credential compromise anywhere in the chain.
Most organizations are handing agents broad, standing access with none of the lifecycle discipline — provisioning, least privilege, deprovisioning, audit trail — they’d insist on for a new hire.
Our Approach: Four Dimensions
Rather than treating AI governance as a bolt-on category, we apply the same four questions identity governance has always asked — extended to a principal type built for none of them:
- TRUST — Has this agent been vouched for, and by whom? Every agent needs a named human sponsor and verifiable model provenance, the same accountability chain you’d require of any non-person entity.
- CRED — Can the agent prove what it claims to be? Credentials should be short-lived and scoped to the task, not long-lived keys sitting in a context window.
- PRIV — What is the agent actually permitted to do? Its tool manifest is its entitlement set, and it deserves the same least-privilege scoping and periodic recertification as a human access grant.
- BEHAVE — Is the agent acting consistently with why it was deployed? Behavioral monitoring anchored to declared purpose, not a historical baseline the agent was never going to have.
Blog
Continual edits and updates are delivered through our Blog.
The Master Agent Record
Every agent in production should have a governed identity record — the agent equivalent of a Master User Record — covering its sponsor, its model provenance, its credential profile, its authorized tool manifest, and its behavioral policy. No agent reaches production without one.
Learn More About the Master Agent Record →
About Us
AIdentity Governance, from Foard Consulting, LLC, helps federal agencies and commercial enterprises alike govern AI agents with the same rigor applied to every other identity on the network. Our approach is grounded in federal identity practice — FICAM, CDM, Zero Trust — extended deliberately rather than reinvented for AI.
Services
Agent Identity & Credentialing
Establishing sponsorship, provenance, and workload identity for every agent in production — the TRUST and CRED foundation nothing else in this list works without.
Privilege & Tool Manifest Governance
Bringing least-privilege discipline to what your agents can actually do — tool manifest review, just-in-time access, and human-in-the-loop checkpoints for irreversible actions.
Continuous Behavioral Verification
Monitoring agents against declared purpose rather than a baseline they never had, with a tiered response model that reasserts trust instead of defaulting to blunt shutdowns.
Contact Us
Get in touch to discuss how AIdentity Governance applies to the agents already running in your environment.
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