Use cases
Where AI agents meet a business boundary.
Six ways to control access and consequential actions—without asking teams to stop using agents and workflows.
AI agents & MCP tools
Let an approved AI agent access the right tools
An agent’s ability to reach a tool is not permission to use every operation it exposes.
Verify the workload and limit its calls to permitted actions and routes. Each request is checked independently before it reaches the protected tool API.
An approved agent can keep working within its declared scope.
Recorded demo scenario · Not a customer deployment
Internal services & partner APIs
Reduce shared integration-key exposure
Onboarding another service often means copying another long-lived key into configuration and pipelines.
Use platform attestation to enroll matching workloads and request-bound proofs on the protected path. Narrow or withdraw access through each caller’s policy rather than distributing a shared API key.
Less shared-key distribution for this path—not a claim that every connected platform has no credentials.
Read the walkthrough →Internal services & partner APIs
Less shared-key distribution for this path—not a claim that every connected platform has no credentials.
Explore the access policy →Security, operations & audit review
Explain who accessed what—and why it was allowed
An integration account alone may not explain which agent or workflow requested a sensitive action.
Review caller identity, action, target and the allow or refusal reason recorded at the boundary. Use these records alongside application logs and the upstream result.
Evidence for access decisions, not a guarantee of compliance or visibility into later data copying.
Read the walkthrough →Security, operations & audit review
Evidence for access decisions, not a guarantee of compliance or visibility into later data copying.
Explore the access policy →Banking & payment automation
Stop a financial request from being replayed
A captured request sent again can still carry a valid signature. Signature validity alone does not authorize reuse.
In the synthetic n8n demo, the original payment-exception request is allowed, the exact same request is refused with a replay reason, and a fresh request is allowed.
The replay is refused before the business service is reached. No real money moves in this demo.
Read the walkthrough →Recorded demo scenario · Not a customer deployment
HubSpot, billing & subscription workflows
Sales requests an upgrade. Operations activates it.
A workflow that can request a plan upgrade should not automatically have authority to activate it.
In the synthetic HubSpot demo, sales submits the request but its correctly signed activation attempt is refused. A separate operations identity is permitted to activate.
Separation of duties is enforced at the protected subscription API. Approval and payment remain application responsibilities.
Read the walkthrough →Recorded demo scenario · Not a customer deployment
LangGraph, finance & iGaming data
Keep altered data out of an AI investigation
An AI report can look convincing even when the input request was changed after signing.
In the synthetic reconciliation demo, a payout changed after signing is rejected before ingestion. The LangGraph analyst’s report write is a separate request attributed to its workload.
Request integrity and attribution support review. The model’s finding is not proof of misconduct.
Read the walkthrough →Recorded demo scenario · Not a customer deployment
Bring one workflow you need to control.
Explore the actions to allow, the requests to stop, and where Trustplane fits. Deployment and pricing are scoped to your needs.