8 Chapters · 60+ Pages · Updated August 2026

The Agentic AI Blueprint

A framework for governing the AI agents you already run in regulated enterprises

For CISOs, CIOs, VP Engineering, and Enterprise Architects

56%1
Of employees who use AI at work have used
AI tools without knowing whether it is allowed
Pilot to production
Governance that lets agents ship
Audit-ready
Evidence a regulator can check
Aug 2
EU AI Act Full Enforcement
"Your employees are already using AI agents. You just don't know which ones, with what data, at what cost, and at what risk."

The Five Pillars of AI Governance

The architectural foundations covered in this Blueprint

🔑

Identity

Cryptographic agent identity. SPIFFE, Verifiable Credentials, JWT-SVIDs.

🛡

Authorization

Per-tool-call policy checks. Default deny. Policy coverage for the tools your teams actually use. TBAC.

✔

Verification

Mathematical proof of compliance. Multi-LLM cross-checking. Execution certificates.

📋

Audit

Append-only logging with hash-chain integrity. SIEM export. Retention up to 7 years.

🌐

Federation

Cross-org agent collaboration. SPIFFE trust bundles. MLS encryption (RFC 9420).

Chapters

Read online for free. Each chapter stands alone. Start anywhere.

Appendices & Tools

AI Governance Assessment

Interactive 25-question readiness evaluation with personalized report.

Agentic AI Glossary

MCP, A2A, SLIM, SPIFFE, PVP, TBAC — every term defined.

Trust & Security

CISO sign-off checklist. Compliance control mapping.

Your agents are already running. See them first.

MeetLoyd governs the agent estate you already have. The Shadow AI Scan maps it from the logs you already keep — every agent, every tool, every data path.

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Sources

  1. University of Melbourne and KPMG, Trust, attitudes and use of artificial intelligence: A global study, 2025