What is agentic AI and how does this differ from the traditional AI used in cybersecurity? click here now refers to autonomous, goal-oriented systems that can perceive their environment, make decisions, and take actions to achieve specific objectives. Unlike security testing automation , which is often rule-based or reactive, agentic AI systems can learn, adapt, and operate with a degree of independence. In https://www.linkedin.com/posts/chrishatter_finding-vulnerabilities-with-enough-context-activity-7191189441196011521-a8XL , agentic AI enables continuous monitoring, real-time threat detection, and proactive response capabilities. Monitor and audit AI systems regularly to identify any potential biases or errors. Make necessary adjustments for optimal performance.