A side-by-side comparison of OWASP Top 10 for LLM Applications (2025) and the new OWASP Top 10 for Agentic Applications (2026), written from a security researcher's perspective. The piece explains why agentic AI systems—which autonomously execute real-world actions—require an entirely new security paradigm beyond traditional LLM risks. It covers risks unique to agentic systems including agent goal hijacking, tool misuse, identity and privilege abuse, unexpected code execution, insecure inter-agent communication, cascading failures, human-agent trust exploitation, and rogue agents. Each risk includes concrete attack examples, impact analysis, and mitigation strategies. A practical testing checklist for both traditional LLMs and agentic systems is provided for bug bounty hunters and security researchers.
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