https://www.darkreading.com/application-security/ai-in-software-development-the-good-the-bad-and-the-dangerous https://sites.google.com/view/howtouseaiinapplicationsd8e/sast-vs-dast This is a short description of the topic: In the ever-evolving landscape of cybersecurity, as threats become more sophisticated each day, enterprises are turning to AI (AI) to bolster their defenses. AI is a long-standing technology that has been used in cybersecurity is currently being redefined to be an agentic AI, which offers active, adaptable and context aware security. focuses on the revolutionary potential of AI with a focus on the applications it can have in application security (AppSec) as well as the revolutionary idea of automated vulnerability-fixing. Cybersecurity: The rise of agentsic AI Agentic AI is the term used to describe autonomous goal-oriented robots which are able discern their surroundings, and take decision-making and take actions for the purpose of achieving specific objectives. Unlike traditional rule-based or reactive AI, these systems possess the ability to adapt and learn and function with a certain degree of independence. In the field of security, autonomy can translate into AI agents who continuously monitor networks and detect suspicious behavior, and address security threats immediately, with no continuous human intervention. The application of AI agents in cybersecurity is immense. The intelligent agents can be trained to detect patterns and connect them through machine-learning algorithms and huge amounts of information. These intelligent agents can sort through the noise of many security events and prioritize the ones that are most significant and offering information to help with rapid responses. Agentic AI systems have the ability to grow and develop their abilities to detect threats, as well as being able to adapt themselves to cybercriminals and their ever-changing tactics. Agentic AI as well as Application Security Though agentic AI offers a wide