Platform

Sentinel

AI access control

Sentinel governs supported agent access to systems of record through bounded permissions, protected fields, review gates and attributable operating records.

Let agents perform useful work while your organization controls what they can read and change. Sentinel places policy at the system receiving the action, where a permission can be enforced.

Connect tools to explicit authority

Model Context Protocol, or MCP, connects an AI client to tools and resources. Permission is a separate decision. Supported operations receive bounded access based on the caller, content and action, with human gates for consequential transitions.

Protect the source of record

Read limits, field protection and permitted write paths are designed together. An agent should encounter the same boundary through each supported access channel. Sensitive values stay outside the response where policy requires it.

Exercise both sides of the policy

Acceptance includes authorized work, refused work and the required human transition. Your team receives policy configuration, the supported integration map, review procedures and evidence of the tested paths. Coverage is defined for the actual systems and tools in scope.

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