AI The Agentic Threat: A Strategic Risk Assessment and Mitigation Framework for Enterprise AI
Enterprise AI has entered a new era: the rise of autonomous, agentic AI systems. Unlike traditional LLMs, these agents can act—executing multi-step tasks with autonomy, tools, and memory. This evolution brings unprecedented security risks, turning AI from a passive system into a potential privileged insider threat.This report details the expanded attack surface of agentic AI, from zero-click exploits like EchoLeak to sandbox escapes, data poisoning, and Prompt-to-SQL (P2SQL) injection. It quantifies sector-specific financial impacts (average breach cost: $4.8M) and proposes a three-pillar defense: Zero Trust Identity for non-human actors, real-time behavioral monitoring, and proactive data-layer threat mitigation.For CISOs and enterprise leaders, securing agentic AI is no longer optional—it is a business, financial, and continuity imperative. This framework offers the roadmap to safeguard autonomy without sacrificing innovation.