Zero-Trust AI Guide 2026
The 22-page playbook for deploying Microsoft Copilot, Claude, and agentic AI without leaking data, failing audits, or losing control. Built for IT Directors, CISOs, and CFOs evaluating enterprise AI in 2026.
What You Will Learn
Six practitioner-grade chapters mapped to NIST AI RMF, OWASP LLM Top 10, and the zero-trust principles that actually hold up inside real enterprises.
Zero-Trust Architecture for AI
How to apply NIST SP 800-207 zero-trust principles to LLM access: identity-bound sessions, per-request authorization, continuous verification, and micro-segmented model endpoints. Includes a reference architecture diagram.
Prompt-Injection Defense
OWASP LLM01 in depth. Direct and indirect prompt injection, tool-use hijacking, and the layered defense model: input guardrails, system-prompt hardening, output validation, and human-in-the-loop gates for sensitive actions.
Data Exfiltration and Shadow AI
Discovery techniques for finding shadow AI tools (ChatGPT Plus, Claude.ai, public Copilot). DLP rules for LLM traffic, sanctioned-tool rollout, and contract language that keeps your data out of training sets.
Secure Copilot and Claude Rollout
A concrete rollout plan for Microsoft 365 Copilot and Claude for Enterprise. SharePoint and OneDrive permissions cleanup, sensitivity labels, purview connectors, and the pre-launch sensitivity audit that prevents over-sharing.
Agentic AI Risk Framework
Autonomous agents change the risk model. Tool permissioning, sandboxed execution, blast-radius limits, and the rollback and kill-switch patterns you need before you hand an agent a credit card or a production credential.
AI Governance Template
A ready-to-adapt acceptable-use policy, AI risk register, model inventory, and incident response addendum. Maps cleanly to NIST AI RMF Govern and Manage functions, and to CMMC AC and AT controls.
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Twenty-Three Years Securing Networks. Now Securing AI.
This guide is written by the same team that has handled HIPAA, CMMC, and SOC 2 engagements for clients in healthcare, defense, and financial services since 2002.
“AI is the biggest shift in enterprise technology since cloud, and most organizations are rolling it out the same way they rolled out SaaS in 2012: fast, with minimal controls, and with the security team finding out last. This guide exists because our clients kept asking the same question — how do we say yes to AI without saying yes to every risk that comes with it.”
Craig Petronella — Founder and CEO, Petronella Technology Group. Author of multiple Amazon books on cybersecurity and compliance, including HIPAA and CMMC titles used by MSPs across the United States.
Petronella Technology Group has been headquartered in Raleigh, North Carolina since 2002 at 5540 Centerview Drive, and has maintained a BBB A+ rating since 2003. The entire technical team is CMMC Registered Practitioner certified, and Petronella Technology Group is a CMMC Registered Practitioner Organization.
Ready to Deploy AI Safely?
After you read the guide, book a free 30-minute AI risk assessment. We will walk through your current Copilot, Claude, or ChatGPT posture and flag the three biggest gaps before they become incidents.