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OWASP Top 10 for Agentic AI: How to Protect Your AI Agents

OWASP Top 10 for Agentic AI: How to Protect Your AI Agents

via Dev.to PythonJoão André Gomes Marques

OWASP released their Top 10 for Agentic AI Systems. Here is what matters and how to address each risk. The Top Risks Excessive Agency - agents doing more than intended Supply Chain Vulnerabilities - compromised tools and plugins Insecure Output Handling - agents producing unsafe outputs Insufficient Logging - no audit trail of agent actions Broken Access Control - agents accessing unauthorized resources Addressing These with Governance Most of these risks come down to: no visibility, no control, no proof. Policy enforcement (risks 1, 5) from asqav import Asqav client = Asqav ( api_key = " sk_... " ) # Block excessive actions client . create_policy ( name = " limit-external-calls " , action_pattern = " api:external:* " , action = " block_and_alert " , severity = " high " ) Audit trails (risk 4) agent = client . create_agent ( name = " my-agent " ) sig = agent . sign ( " data:read:users " , { " query " : " active " }) # Every action now has a quantum-safe cryptographic record Multi-party

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