Stalled Security Reviews Push Platform Teams to Define Who Owns AI Agent Authorization

Diagrid publishes a control-point checklist to help platform and security teams define ownership before an AI agent deployment reaches review

FEDERAL WAY, Wash., Sept. 16, 2026 /PRNewswire/ -- Diagrid published a control-point checklist today for teams putting AI agents into production. It focuses on a common source of delay in a security review: when an agent calls a system it does not own, which product issues the identity, which product decides whether the call is allowed, and which product records what happened.

The checklist covers run identity, per-run scope, credential lifetime, tool authorization, human approval, execution records, and revocation. For each control point, teams identify who issues, who decides, and who executes and records. It also shows what can happen when ownership is unclear. A shared key in configuration, for example, can make every run look identical in downstream logs. Access can also be revoked while an active run keeps working until its credential expires.

AI agent deployments are moving out of prototypes and into environments that require an audit trail. That changes the security review. In a human-facing application, identity, authorization, and logging often happen in one request. In an agent run, those steps can happen at different times and be handled by different products.

"A security review should not start with which product you bought," said Tony Graham, Director of Product Marketing at Diagrid. "It should show which product owns each decision and whether any control point has no owner. That gap may stay invisible until an incident or an audit."

Most of the checklist can be filled out with infrastructure a company already uses, including its identity provider and secrets manager. That makes the exercise more about documenting ownership than buying another product. Diagrid views the agent runtime as one layer in an existing identity stack. It does not issue identities or replace an identity provider. Its role is to carry an identity through an agent run that may outlive a single request, present that identity at each step, and leave an execution record.

Diagrid published the checklist alongside a longer engineering guide and reference pages on agent identity, delegated authorization, and tool access through the Model Context Protocol (MCP).

About Diagrid

Diagrid provides infrastructure for AI agents and distributed applications, with a focus on durable execution, agent identity, and production operations. The company contributes to the open-source Dapr project. For more information, visit diagrid.io.

Additional Resources

Agentic Reliability Engineering (ARE) Vol. I, Diagrid Research: https://www.diagrid.io/reports-and-ebooks/agentic-reliability-engineering