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Agentic AI in Cybersecurity: An Analytical Briefing

Published 1 month, 1 week ago
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Agentic AI represents a fundamental paradigm shift in cybersecurity, moving beyond pattern analysis to autonomous decision-making and action. Unlike generative AI, these systems can execute complex, multi-step tasks with minimal human oversight, fundamentally restructuring both defensive and offensive cyber operations. Gartner has named agentic AI the top technology trend for 2025, projecting that 33% of enterprise applications will incorporate it by 2028.

For defenders, agentic AI offers significant operational value by automating Security Operations Center (SOC) workflows, enabling continuous vulnerability testing, executing incident response at machine speed, and performing sophisticated behavioral threat analysis. Early adopters report substantial reductions in incident detection and response times. However, implementation is fraught with challenges, including the probabilistic and non-deterministic nature of AI, the proliferation of difficult-to-manage non-human identities (NHIs), a lack of transparency in AI decision-making, and significant supply chain vulnerabilities.

The same capabilities are being weaponized by adversaries with devastating effect. In September 2025, the first large-scale cyberattack executed with minimal human intervention was documented, in which Chinese state-sponsored actors used agentic AI for espionage. This event signals that the barrier to entry for sophisticated attacks has dropped significantly. Offensive techniques now include memory poisoning, tool misuse via prompt injection, multi-agent compromises, and deepfake-enabled social engineering at scale, as evidenced by a $25 million fraud against the engineering firm Arup.

This is not a future threat; it is a current operational reality. Business leaders must treat agentic AI not as another tool but as a strategic imperative, addressing the complex questions of governance, validation, and security for these autonomous systems. Disciplined implementation that prioritizes transparency, robust identity management, and security from the outset is critical to realizing the benefits while mitigating catastrophic risks.

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