Frequently Asked Questions about Agentic AI

What is agentic AI, and how does it differ from traditional AI in cybersecurity?  neural network security testing  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  ai security design patterns , which is often rule-based or reactive, agentic AI systems can learn, adapt, and operate with a degree of independence. Agentic AI is a powerful tool for cybersecurity. It allows continuous monitoring, real time threat detection and proactive response. Monitor and audit AI systems regularly to identify any potential biases or errors. Make  scaling ai security  for optimal performance.