Governance Engine

The policy layer that controls and audits every action an agent or connector takes across the platform.

When an AI agent or an integration creates an invoice, updates a purchase order, or triggers a payment, an organization needs to know who authorized it, what policy permitted it, and exactly what happened. The Governance Engine is what makes autonomous integration safe for real business operations.

It enforces policies expressed across four dimensions — identity, resource (UDM Noun), action (UDM Verb), and condition — and applies them uniformly to every channel: direct connector calls, MCP tool invocations, and A2A delegations. Prohibited actions are blocked before execution, and actions above a configured threshold can require human approval.

Every action produces an immutable, tamper-evident audit record, enabling compliance reporting against frameworks such as SOC 2 and GDPR.

Read next.

MCP (Model Context Protocol) An open standard for connecting AI agents to tools and data, supported natively by Ngentix as server, client, and gateway. /glossary/mcp
A2A (Agent-to-Agent Protocol) An open standard for AI agents to discover, delegate to, and collaborate with one another — supported natively by Ngentix. /glossary/a2a
Runtime Monitor The subsystem that evaluates every live response, classifies failures, and triggers self-healing or escalation. /glossary/runtime-monitor

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