AI Governance & MCP Integration
Give agents useful access while your organization keeps authority
Decide which agent may act on which record, then enforce that decision where the data lives. We connect useful tools to server-side controls that remain meaningful when the model, prompt or client changes.
Map the authority being granted
We identify actors, tools, records, fields and business decisions. System and data owners define permitted access and information that must stay outside tool responses. Model Context Protocol, or MCP, supplies the interface; the policy supplies permission.
Implement one governed workflow
Scoped identities, tool restrictions, field redaction and human gates are fitted to the actual content model. Read budgets and output limits apply where supported. Sentinel supplies the governance platform, while the engagement identifies separately administered paths that need their own controls.
Demonstrate both allowed and denied work
Acceptance covers useful actions, hostile requests, stale permissions and attempts to cross an approval boundary. A claimed write is read back. You keep the access map, configured connectors, policy rules, evidence and procedures for revocation and policy changes.