tenetgraph See it on your own agents

AI Agent Governance

Determine what each
agent is allowed to do.
Enforce it. Prove it.

TenetGraph derives what each AI agent should be allowed to do from its intended purpose, then tests and refines that boundary against the agent itself. It turns the resulting boundary into enforceable runtime policy, with evidence of every decision made in production.

The problem

One governance problem. Two places agents are taking action.

Product Agent Governance

Govern AI agents embedded in your products.

Employee Agent Governance

Govern AI agents acting on behalf of employees across your systems, tools and workflows.

As agents change, their effective boundary can change too.

New tools, permissions, workflows, integrations, instructions, or other context can change what an agent is capable of doing. Customer configurations and employee access can shape that boundary further.

TenetGraph helps organizations determine and work from an agent-specific boundary for the deployed configuration.

Where permissions stop

The same request, handled two ways.

The control gap

Settings and permissions describe configuration. They don't tell you what the agent should be allowed to do, or prove that boundary holds.

Most teams already have controls: settings, scopes, IAM, governance reviews, evaluation tools, policy infrastructure, logs, and human approval. The problem is that those controls live in different systems. They may not give you one defensible answer to three basic questions:

  1. 01What should this agent be allowed to do?
  2. 02Does that boundary actually hold?
  3. 03What happened when the agent acted?

How TenetGraph works

From intended purpose to a tested boundary, enforceable runtime policy, and production evidence.

Derive the intended boundary

Start with the specific agent and its intended purpose. TenetGraph uses its artifacts, capabilities, tools, permissions, and governing context to derive its intended boundary: the limits it is supposed to operate within.

boundary drafted

The evaluation adapts.

Challenge the agent against its intended boundary with an adaptive adversary that learns from the agent's behavior and decides where to probe next. Use each finding to uncover what the agent can still do outside the boundary and tighten it.

boundary tested and tightened

Decide at runtime

Turn the refined boundary into deterministic runtime policy, enforced through TenetGraph or supported external enforcement points.

runtime policy

Record the evidence

Create a defensible record of the boundary, how it was tested, the policy in effect, and each runtime decision. That evidence can be mapped to relevant governance and compliance frameworks.

decision record

Why TenetGraph

Determine the right boundary, not just enforce a rule.

Authorization and policy infrastructure can enforce a rule once it exists. TenetGraph helps determine and validate the operating boundary for the specific agent, then turns that boundary into the policy that should be enforced.

Evaluation that learns where to push next.

TenetGraph adapts its testing based on how the agent behaves, probing further to uncover capabilities that fixed tests can miss. Those findings tighten the boundary before it is enforced.

Prove what was enforced in production.

TenetGraph connects intended purpose, the boundary, how it was tested, the policy in effect, and runtime decisions into one defensible evidence chain.

Built for production

Govern production agents without making governance a bottleneck.

  • 01Re-establish the boundary as agent capabilities or customer configurations change, without rebuilding the control model from scratch.
  • 02Give Product, Security, Governance, Trust, and enterprise stakeholders a defensible record of what the agent was allowed to do, how that boundary was tested, and what happened in production.
  • 03Answer internal governance and enterprise diligence with operating evidence, not screenshots and written assertions alone.
  • 04Use existing enforcement infrastructure while improving the intelligence that determines the right boundary.

Fits your architecture

Use TenetGraph directly or integrate it into your product or workflow.

Direct

Use TenetGraph directly when you want to assess, govern, and evidence an agent without first integrating TenetGraph into your product.

Integrated

Integrate TenetGraph when the boundary and control loop need to become part of your product or runtime workflow. Exact implementation is customer-specific.

Define the boundary. Authorize the action.

See it on your own agents.

Bring an agent that's already running. Thirty minutes, on your agent.

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