Data Provenance, Compliance, and AI: Why zMCP Matters

[ChristopherTHyatt]

For AI systems in regulated industries, data provenance and compliance are non-negotiable. But with MCP-driven models pulling from multiple contexts, enforcing these requirements is complex.

Our research introduces zMCP — a zero-trust governance extension for MCP. It:

• Tracks provenance for each model interaction
• Enforces policies dynamically
• Provides enterprises with audit-ready compliance controls

Full details: ResearchGate Link

How is your organization tackling the provenance challenge in AI?