https://thrifty-sparrow-z1rt4f.mystrikingly.com/blog/generative-and-predictive-ai-in-application-security-a-comprehensive-guide-ccf7a40a-078c-4a5c-9c45-53667c9a6755 Introduction In the constantly evolving world of cybersecurity, where threats are becoming more sophisticated every day, businesses are turning to AI (AI) to enhance their defenses. AI was a staple of cybersecurity for a long time. been part of cybersecurity, is currently being redefined to be agentsic AI, which offers active, adaptable and context-aware security. This article examines 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 fix for vulnerabilities. Cybersecurity is the rise of artificial intelligence (AI) that is agent-based Agentic AI is a term used to describe self-contained, goal-oriented systems which understand their environment take decisions, decide, and implement actions in order to reach the goals they have set for themselves. Agentic AI is different from traditional reactive or rule-based AI because it is able to adjust and learn to the environment it is in, and can operate without. In the context of cybersecurity, the autonomy translates into AI agents who continuously monitor networks, detect irregularities and then respond to attacks in real-time without the need for constant human intervention. Agentic AI has immense potential for cybersecurity. By leveraging machine learning algorithms as well as huge quantities of information, these smart agents can spot patterns and connections which human analysts may miss. They can sort through the multitude of security threats, picking out events that require attention as well as providing relevant insights to enable quick intervention. Agentic AI systems are able to learn and improve their capabilities of detecting threats, as well as adapting themselves to cybercriminals cha