<p>Security practitioners are engaged in a battle against an enemy that sometimes seems to have all the ammunition.</p>
<p>Case in point: Organizations worldwide field hundreds of millions of cyberattacks daily, according to the <a target=”_blank” href=”https://www.microsoft.com/en-us/security/security-insider/threat-landscape/microsoft-digital-defense-report-2024″ rel=”noopener”>Microsoft Digital Defense Report 2024</a>. IT security teams need as much help, in the way of effective tools, as they can get.</p>
<p>Enter <a href=”https://www.techtarget.com/searchenterpriseai/definition/agentic-AI”>agentic AI</a> systems, which can autonomously pursue complex goals without human input. AI agents are capable of reasoning, learning, planning and making decisions based on real-time conditions, even in unpredictable environments such as the SOC.</p>
<p>CISOs are still in the early stages of determining how they will use agentic AI technology and how to best manage its <a href=”https://www.techtarget.com/searchenterpriseai/feature/Security-risks-in-agentic-AI-systems-and-how-to-evaluate-threats”>considerable risks</a>. If it lives up to its promise, however, agentic AI could give cybersecurity defenders an unprecedented edge in fighting the relentless barrage of threats from increasingly sophisticated adversaries.</p>
<section class=”section main-article-chapter” data-menu-title=”How agentic AI works in cybersecurity”>
<h2 class=”section-title”><i class=”icon” data-icon=”1″></i>How agentic AI works in cybersecurity</h2>
<p>Security vendors are beginning to weave agentic AI into their applications to make them more responsive and efficient. Agentic AI differs from traditional AI in the following ways:</p>
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<li><b>Context-driven, pattern-aware and goal-oriented.</b> Rather than following predetermined rules, agentic AI systems actively, strategically and creatively try to achieve their goals. They interact with their environments independently of human input and make decisions based on situational context and patterns. They are also capable of using tools, delegating and coordinating complex tasks across multiple agents, and assessing and refining their decision-making processes based on historical outcomes.</li>
<li><b>Auton
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