In a nutshell: Agentic AI significantly expands the attack surface of enterprise environments through autonomous system interactions and requires dedicated security controls.
Autonomous AI systems (agentic AI) substantially enlarge the attack surface in enterprise environments and introduce new security risks that go beyond classical AI systems. An e-guide addresses the central threats and defensive measures for CISOs.
Agentic AI – AI systems that autonomously execute tasks and make decisions – creates additional risk surfaces in IT environments. Unlike classical AI models, autonomous agents can access and manipulate external systems, APIs, and data sources without continuous human supervision.
Security risks fall into several categories: expanded attack surfaces arise from additional integration points and interface dependencies; internal threats emerge from insufficient control and audit mechanisms within autonomous agents; data breaches can occur when agents access sensitive data or store it in logs; finally, AI agents themselves can become targets of manipulation and prompt injection attacks.
An available e-guide provides CISOs with a structured overview of these threat classes as well as concrete protective measures for securing autonomous AI systems in the enterprise environment.
Source: www.computerweekly.com · Published 8 June 2026
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