The guide outlines key security risks facing agentic applications, where autonomous AI systems can be manipulated or exploited in complex ways. These risks include goal hijacking, where attackers alter an agent’s intended objectives; tool misuse, where integrated systems are abused; identity and privilege abuse, enabling unauthorized access; and vulnerabilities within the agentic supply chain. As these applications operate with greater autonomy and access across environments, the potential impact of such threats increases. To mitigate these risks, organizations must implement strong controls, continuous monitoring, and layered security strategies that protect agent behavior, manage access, and ensure safe interactions across systems, enabling secure and resilient deployment of agentic tech

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