OWASP Top 10 for Agentic AI Applications VS Top 10 OWASP LLM & GenAI Security Risks: The Ultimate Showdown Imagine this: You’ve just deployed a cutting-edge AI agent that autonomously manages …

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A side-by-side comparison of OWASP Top 10 for LLM Applications (2025) and the new OWASP Top 10 for Agentic AI Applications (2026), written from a security researcher's perspective. The piece explains why agentic AI—systems that autonomously plan and execute real-world actions—requires an entirely new security paradigm beyond traditional LLM risks. Each risk pair is analyzed with concrete attack examples and mitigations, covering: prompt injection vs. agent goal hijacking, excessive agency vs. tool misuse, supply chain differences, and four agentic-only risks: identity and privilege abuse, unexpected code execution, insecure inter-agent communication, cascading failures, human-agent trust exploitation, and rogue agents.

OWASP Top 10 for Agentic AI Applications VS Top 10 OWASP LLM & GenAI Security Risks: The Ultimate Showdown

<p>Good comparison. The shift from prompt injection to full agent control risks is important—once agents can take actions, security needs to focus more on permissions, tool access, and fail-safes, not just prompts.</p>
