What is agentic AI and how does this differ from the traditional AI used in cybersecurity? Agentic AI refers to autonomous, goal-oriented systems that can perceive their environment, make decisions, and take actions to achieve specific objectives. Unlike traditional AI, 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.
https://www.gartner.com/reviews/market/application-security-testing/vendor/qwiet-ai/product/prezero/review/view/5285186 and audit AI systems regularly to identify any potential biases or errors. Make necessary adjustments for optimal performance.