CLAIIM: Identity and Governance for AI Agents Before They Act
AI agents are moving from experiments into real organizational workflows.
They are helping with code review, infrastructure operations, customer support, finance reporting, internal knowledge work, workflow automation, and decision support.
That shift creates a simple but uncomfortable question:
Who is responsible when an AI agent acts?
Most organizations already have controls for humans:
- SSO
- MFA
- IAM roles
- privileged access management
- approval workflows
- audit logs
They also have controls for services:
- service accounts
- API keys
- workload identity
- infrastructure logs
- SIEM pipelines
But AI agents sit awkwardly between those worlds.
They are not exactly humans.
They are not exactly services.
They can reason, choose tools, call APIs, and act on behalf of people.
And in many systems today, they still operate as “just a token.”
That is the gap CLAIIM is built to close.
What CLAIIM Does
CLAIIM is an identity control plane for AI agents.
It gives each agent a governed identity and checks what that agent is allowed to do before it acts.
The core idea is simple:
- Identity before action.
- Policy before execution.
- Proof after every decision.
With CLAIIM, an organization can answer questions like:
- Which agent performed this action?
- Which human was accountable for that agent?
- Was the action allowed before it happened?
- Which policy version governed the decision?
- Which skill or capability was active at the time?
- What proof exists after the action?
That matters because AI governance is not only about model evaluation or prompt safety.
It is also about operational accountability.
Why Existing Controls Are Not Enough
Traditional IAM answers:
“Can this user or service access this system?”
But agent governance needs to answer more specific questions:
“Can this particular agent, acting for this specific purpose, under this accountable human, perform this action right now?”
That is a different control problem.
For example, a DevOps agent might be allowed to deploy to staging, but not production.
A support agent might be allowed to draft a refund response, but not issue the refund.
A finance agent might be allowed to read reporting data, but not move money.
A code review agent might be allowed to comment on a pull request, but not merge it.
The difference is not only technical. It is organizational.
AI agents need boundaries that reflect real-world responsibility.
The CLAIIM Model
CLAIIM is built around four ideas.
1. Governed Agent Identity
Each agent gets its own identity.
That identity is not just a generic API token. It is tied to the organization, the agent’s allowed capabilities, and the human accountable for its operation.
2. Human Accountability
Every governed agent is anchored to a named human.
That does not mean the human manually approves every action. It means there is a clear accountability chain when the agent acts.
For regulated or sensitive environments, this becomes essential.
3. Policy Before Action
Before an agent performs an action, it asks CLAIIM whether that action is allowed.
CLAIIM evaluates the request against policy and returns an allow or deny decision.
The agent can only proceed if the action is allowed.
4. Chron Proof
Every allow and deny decision is recorded in Chron, CLAIIM’s audit trail.
Chron is designed to preserve evidence of:
- the agent
- the action
- the decision
- the accountable human
- the policy version
- the skill version
- the reason for denial, if blocked
This gives teams evidence after the fact, not just logs scattered across tools.
A Simple Example
Imagine a deployment agent.
It can help a team deploy software, but the organization wants clear boundaries.
The policy might be:
- allow deployment to staging
- deny deployment to production
- record every decision
- attach the decision to the accountable human and active policy
When the agent tries to deploy to staging, CLAIIM allows it.
When the same agent tries to deploy to production, CLAIIM denies it.
Both decisions are recorded.
That is the point: the agent is useful, but not unbounded.
Why This Matters Beyond DevOps
The same pattern applies across the organization.
In support:
- allow drafting a customer response
- block sending it without review
- record who owned the agent
In finance:
- allow reading reports
- block payment execution
- preserve evidence for audit
In HR:
- allow summarizing policy documents
- block sensitive employee actions
- log the decision path
In legal:
- allow document analysis
- block external disclosure
- preserve chain of custody
The problem is not limited to engineering.
Any place where an AI agent can act, there needs to be identity, policy, accountability, and proof.
Sovereign by Design
CLAIIM is designed to run in the customer’s own environment.
That means:
- your database
- your policies
- your agent records
- your audit trail
- your infrastructure boundary
Nivaya does not need to receive your agent activity data for CLAIIM to work.
That matters for organizations that care about data residency, regulatory boundaries, internal confidentiality, or customer trust.
Public Preview
CLAIIM is currently in public preview.
The preview is for teams exploring how to govern AI agents before those agents become deeply embedded in business workflows.
It is especially relevant if you are working on:
- AI agent platforms
- internal copilots
- DevOps automation
- support automation
- finance workflows
- regulated AI systems
- security and compliance programs
The goal of the preview is simple:
Help teams test the control model early, before agent sprawl becomes another unmanaged identity problem.
Try It
Website: https://claiim.io
Contact: support@claiim.io
If you are already asking questions like:
- “Which agents are running in our organization?”
- “Who owns them?”
- “What are they allowed to do?”
- “Can we prove what happened?”
- “Can we block risky actions before they execute?”
Then CLAIIM is probably worth a look.
AI agents are becoming actors inside organizations.
They need identity.
They need boundaries.
They need accountability.
They need proof.
That is what CLAIIM is for.
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