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Chapter 5 · 2025

OWASP GenAI Security Project Releases Top 10 Risks and Mitigations for Agentic AI Security

Scott Clinton, Keren Katz, John Sotiropoulos

Abstract

The OWASP GenAI Security Project released the OWASP Top 10 for Agentic Applications, a key resource to help organizations identify and mitigate the unique risks posed by autonomous AI agents. This framework, developed with input from over 100 industry leaders, provides practical guidance on risks like Agent Behavior Hijacking, Tool Misuse and Exploitation, and Identity and Privilege Abuse, which are critical for securing the next generation of autonomous AI systems.

Eigenvector Insight — Zone III / PASF-PADE AnalysisNot part of the original paper
Eigenvector Research — Marco van Hurne
How this paper contributes to solving the Zone III problem (PASF-PADE)

This paper directly addresses one of the core structural challenges in Zone III deployments. The research on Agentic AI, Security, OWASP Top 10 provides evidence-based foundations that enterprise architects cannot ignore when designing long-horizon autonomous workflows. The findings challenge the assumption that a base language model — however capable — can handle the complexity of durable, governed, multi-step execution without explicit architectural intervention. For Zone III practitioners, this paper belongs in the required reading list.

Why AI is not sufficient for Zone III without this

Zone III refers to high-complexity, high-risk, long-running agentic workflows — the class of enterprise AI deployments where a single failure can cascade across hundreds of steps. Standard AI models, trained to predict the next token, are not inherently designed for durable, governed, multi-step execution. This paper addresses one or more of the structural gaps that make Zone III deployments unsafe without explicit architectural intervention.

Topics

Agentic AISecurityOWASP Top 10RisksMitigationsAutonomous AIAgent Behavior HijackingTool Misuse