Frequently Asked Questions about Agentic AI

What is agentic AI, and how does it differ from traditional AI in cybersecurity?  agentic ai security optimization  is a term used to describe autonomous, goal-oriented, systems that are able to perceive their environment, take decisions, and act to achieve specific goals. Unlike  https://www.scworld.com/podcast-segment/12800-secure-code-from-the-start-security-validation-platformization-maxime-lamothe-brassard-volkan-erturk-chris-hatter-esw-363 , which is often rule-based or reactive, agentic AI systems can learn, adapt, and operate with a degree of independence. In cybersecurity, 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.