The OWASP Agentic AI Top 10: What Enterprise Security Teams Need to Know in 2026

Most enterprise security teams have read the OWASP LLM Top 10. Far fewer have read the Agentic AI Top 10 — released December 2025 — and the gap between the two is where the real risk lives right now. This isn't a prompt injection update. It's a different threat model entirely. What changed between LLM and Agentic AI risks The LLM Top 10 assumes a human in the loop. A user sends a prompt, a model responds, a human evaluates the output. The attack surface is the prompt and the response. Agentic AI systems don't work that way. An agent receives a goal, plans a sequence of actions, calls external tools, stores information in memory, spawns sub-agents, and executes — often without a human reviewing each step. The attack surface is every tool call, every memory read/write, every inter-agent handoff, and every external server connection. Here's a quick comparison of what shifted: RiskLLM Top 10Agentic Top 10Primary vectorPromptTool calls + memoryScopeSingle model responseMulti-step autonomous