<ul><li>Agentic AI systems are autonomous actors capable of setting goals, planning actions, interacting with tools and APIs, storing memory, and adapting based on feedback.</li><li>Security risks associated with Agentic AI systems arise from autonomous loops leading to unintended consequences, memory as a potential attack vector, and tool access/API abuse.</li><li>To enhance security for Agentic AI systems, actionable best practices are recommended, including implementing guardrails, following zero-trust principles, securing memory, ensuring observability and auditing, and conducting adversarial agent testing.</li><li>The AI security community is urged to collaborate on developing frameworks, threat models, testing tools, and observability tools to ensure the safety of autonomous AI systems.</li></ul>

Securing Agentic AI Systems: New Challenges in Autonomous Decision-Making

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