FAQs about Agentic AI

What is  machine learning security testing  and how does this differ from the traditional AI used in cybersecurity?  ai vs manual security  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. Monitor and audit AI systems regularly to identify any potential biases or errors. Make necessary adjustments for optimal performance.