https://articlescad.com/generative-and-predictive-ai-in-application-security-a-comprehensive-guide-264019.html https://bramsenbowen12.livejournal.com/profile This is a short overview of the subject: In the rapidly changing world of cybersecurity, where threats get more sophisticated day by day, companies are looking to artificial intelligence (AI) for bolstering their defenses. AI is a long-standing technology that has been part of cybersecurity, is being reinvented into an agentic AI, which offers proactive, adaptive and contextually aware security. This article focuses on the potential for transformational benefits of agentic AI and focuses on its application in the field of application security (AppSec) as well as the revolutionary concept of artificial intelligence-powered automated vulnerability fixing. The rise of Agentic AI in Cybersecurity Agentic AI is the term which refers to goal-oriented autonomous robots that are able to see their surroundings, make action in order to reach specific desired goals. Agentic AI is distinct from the traditional rule-based or reactive AI in that it can adjust and learn to the environment it is in, and also operate on its own. When it comes to cybersecurity, this autonomy transforms into AI agents that continually monitor networks, identify suspicious behavior, and address threats in real-time, without any human involvement. Agentic AI offers enormous promise for cybersecurity. With the help of machine-learning algorithms as well as huge quantities of data, these intelligent agents are able to identify patterns and correlations that analysts would miss. They are able to discern the multitude of security events, prioritizing events that require attention as well as providing relevant insights to enable immediate responses. Agentic AI systems can be trained 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 and Applicatio