OWASP Agentic AI 2026: The 10 Security Risks Every AI Developer Must Know

The OWASP Top 10 for Agentic Applications dropped in 2026, and it's a wake-up call. 48% of cybersecurity professionals now rank agentic AI as the #1 attack vector — above ransomware. Here's what you need to know and how to defend against each risk. Why Agentic AI Security Is Different Traditional LLM security assumes a human in the loop. Agentic AI doesn't work that way — agents plan, call tools, store memory, and execute without human review at each step . The attack surface includes every tool call, every memory read/write, every inter-agent handoff. The Top 10 Risks ASI01: Agent Goal Hijacking (Critical) An attacker embeds instructions in data the agent processes (emails, documents, web content). Defense: const CONSTITUTION = [ /ignore \s + ( previous|above|all )\s + ( instructions|prompts ) /i , /you \s +are \s +now \s + ( a|DAN|jailbroken ) /i , /system \s *prompt|reveal.*instructions/i , ]; ASI02: Tool Misuse Agents generating and executing unsafe code. Defense: Sandbox all code