The bottom line: Agentic AI systems create security risks through their autonomy, which classical threat models do not cover and which require different control mechanisms.
Agentic AI systems autonomously generate security risks that organisations must manage even in the absence of external attackers. A rethinking of security strategy is required.
Agentic Artificial Intelligence – that is, AI systems that make decisions and take actions independently – presents security leaders with new challenges. Unlike traditional AI models that respond to queries, agentic AI systems operate iteratively and autonomously, creating new attack surface risks.
For CISOs, this means: classical threat modelling, which primarily addresses external attackers, becomes inadequate. Agentic AI can cause harm through design flaws, incomplete instructions, or emergent behaviours without malware or external intruders being involved. This shifts protection requirements from perimeter security to system control.
Central security questions for deploying agentic AI are: How are the system’s objectives and limits defined and enforced? What checks prevent unwanted actions? How is auditability ensured? Can systems be interrupted if they malfunction? Mere compliance with data protection and IT security is insufficient – specific governance for autonomous AI operations is needed.
Source: www.darkreading.com · Published 16 July 2026
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