https://sites.google.com/view/howtouseaiinapplicationsd8e/sast-vs-dast https://en.wikipedia.org/wiki/Machine_learning https://www.scworld.com/cybercast/generative-ai-understanding-the-appsec-risks-and-how-dast-can-mitigate-them The following is a brief description of the topic: Artificial Intelligence (AI) as part of the continually evolving field of cybersecurity, is being used by businesses to improve their security. As security threats grow more complex, they have a tendency to turn to AI. While AI has been part of the cybersecurity toolkit for some time and has been around for a while, the advent of agentsic AI will usher in a fresh era of intelligent, flexible, and contextually sensitive security solutions. The article explores the possibility for the use of agentic AI to improve security and focuses on use cases to AppSec and AI-powered vulnerability solutions that are automated. Cybersecurity is the rise of Agentic AI Agentic AI is a term used to describe autonomous, goal-oriented systems that can perceive their environment to make decisions and take actions to achieve particular goals. Agentic AI is different from conventional reactive or rule-based AI because it is able to be able to learn and adjust to the environment it is in, and can operate without. This autonomy is translated into AI security agents that are able to continuously monitor systems and identify abnormalities. They can also respond with speed and accuracy to attacks in a non-human manner. Agentic AI has immense potential in the cybersecurity field. Through the use of machine learning algorithms and huge amounts of information, these smart agents are able to identify patterns and similarities which human analysts may miss. are able to sort through the noise generated by many security events prioritizing the most important and providing insights for quick responses. Moreover, agentic AI systems can gain knowledge from every interactions, developing their capabilities to detect threats and ada