MCP Is the Interface. Governance Is the Product.
Every major AI platform now speaks MCP. Interoperability is solved. Enforcement and trust are not — that is where governance lives.
MCP standardizes how agents find and call tools. The spec is explicit: implementers must build their own consent, authorization, integrity verification, and audit. MCP standardizes interaction — not trust.
Four ways tools get compromised
- Tool poisoning — approved read tool gains destructive parameters later
- Shadow tools — decoy names redirect agents to exfiltration endpoints
- Supply-chain drift — upstream schema changes egress targets silently
- Insecure plugin design — tool descriptions that social-engineer the agent
The enterprise trust stack
Schema pinning at execution time. Policy-scoped discovery so agents only see authorized tools. Promotion loops that require explicit approval before new capabilities go live. A single AuthZEN PDP across human, API, and agent enforcement points.
MCP is the wire. EmpowerID Agent Governance is the product that makes MCP safe for production — with purpose-bound authority, human approval on risky actions, and proof your auditor can verify.
Related
Governed AI Agents solution →