The OWASP Agentic AI Top 10 highlights real and present risks in advanced, autonomous AI systems, moving beyond theory into active exploitation. Unlike traditional machine learning models, agentic AI agents make automated decisions and interact directly with APIs, significantly expanding the attack surface.
Koi Security reviews have exposed incidents including goal hijacking—where attackers redirect AI objectives—and hostile takeover of agent runtimes. Documented attacks have targeted tool integrations and manipulated runtime behaviour, indicating an urgent need for enhanced security controls.
Organisations must act now: audit agent permissions and external integrations, patch and monitor agent tools, and update detection strategies. With agentic AI widely deployed, security teams must move quickly to defend these systems from evolving threats.
Agentic AI Top 10: Real-World Attacks Prompt New Security Priorities
