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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.

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Threat Categories
AI Agent Red Teaming Guide Visual

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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)