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// FREE RESOURCE

The AI Agent Security Checklist

50+ actionable security controls for protecting agentic AI systems in production. Aligned with the OWASP Top 10 for Agentic Applications (2026).

50+
Security Controls
10
OWASP Categories
3
Priority Tiers

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What's Inside

Goal & Identity Controls - Prevent agent hijacking and privilege abuse
Tool Security - Least privilege, sandboxing, and rate limiting
Memory Protection - Context isolation and poisoning prevention
Inter-Agent Comms - mTLS, message signing, replay protection
Supply Chain - MCP security, signed manifests, AI-BOMs

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ASI01-ASI03
Goal hijack prevention, tool misuse controls, identity & privilege management
ASI04-ASI06
Supply chain security, code execution sandboxing, memory protection
ASI07-ASI08
Inter-agent communication security, cascading failure prevention
ASI09-ASI10
Human-agent trust, uncontrolled scaling limits, monitoring & alerting

// WHY THIS MATTERS

AI Agents Are the New Attack Surface

Enterprise AI has moved beyond chatbots. Modern agents plan, reason, use tools, maintain memory, and execute complex workflows autonomously. Each capability is a potential attack vector.

The OWASP Top 10 for Agentic Applications (2026) identifies the critical risks. This checklist translates those risks into actionable security controls your team can implement today.

Whether you're building internal AI automation, deploying customer-facing agents, or evaluating third-party agentic tools - this checklist provides a systematic approach to securing autonomous AI systems.