The agentic threat.

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.

Global AI governance matrix 2025 strategic divergence, convergence, and democratic implications

Executive Summary The year 2025 marks a pivotal moment in the global governance of artificial intelligence (AI). As the technology’s capabilities expand at an exponential rate, the world’s major technological powers—the United States, the European Union, the People’s Republic of China, and the United Kingdom—have solidified distinct and often competing Read more