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// FREE RESOURCE 35 PAGES

The CISO's Guide to AI Agent Red Teaming

A strategic framework for validating security in autonomous AI systems. Threat modeling, governance, testing methodology, and metrics for enterprise agentic AI.

5
Threat Domains
6
Phase Framework
9
Threat Categories

TABLE OF CONTENTS

What's Inside

I Strategic Foundation - Executive summary, business case, paradigm shift
II Threat Landscape - Attack surfaces, risk assessment matrix, real-world scenarios
III Building Your Program - Governance model, 6-phase methodology, key questions
IV Operationalizing - Metrics, SOC integration, regulatory landscape
A-C Appendices - Checklists, framework reference, tool landscape

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Threat Domains
Cognitive architecture, temporal persistence, operational execution, trust boundaries, governance
Risk Matrix
Scope-based assessment from read-only agents to fully autonomous systems
Frameworks
CSA MAESTRO, Cisco AI Security, AWS Scoping Matrix, OWASP, NIST AI RMF
Checklists
50+ actionable items for cognitive, memory, tool, and multi-agent testing

// WHY THIS MATTERS

Traditional Security Frameworks Weren't Built for Agents

AI agents don't just respond to prompts - they reason, plan, remember, and act autonomously. They chain together tools, maintain persistent memory across sessions, and make decisions with minimal human oversight. Each capability is a potential attack vector that traditional security frameworks don't address.

32% of organizations have already experienced prompt injection attacks. The average breach via AI systems occurs in just 42 seconds. And 90% of AI applications leak sensitive data without proper controls.

This playbook provides security leaders with a strategic framework for validating AI agent security before deployment - covering threat modeling, governance structures, testing methodology, and the metrics that matter.

// RESEARCH SOURCES

Cisco AI Security Framework
CSA MAESTRO
AWS Agentic Scoping Matrix
OWASP Agentic Top 10
NIST AI RMF
ATFAA Research (arXiv)