https://sites.google.com/view/howtouseaiinapplicationsd8e/ai-in-cyber-security Introduction In the ever-evolving landscape of cybersecurity, where the threats are becoming more sophisticated every day, organizations are relying on artificial intelligence (AI) for bolstering their security. AI has for years been an integral part of cybersecurity is now being re-imagined as agentic AI which provides proactive, adaptive and contextually aware security. This article explores the revolutionary potential of AI with a focus on its application in the field of application security (AppSec) and the pioneering concept of artificial intelligence-powered automated vulnerability-fixing. Cybersecurity is the rise of agentsic AI Agentic AI refers to goals-oriented, autonomous systems that are able to perceive their surroundings to make decisions and make decisions to accomplish certain goals. Contrary to conventional rule-based, reactive AI, agentic AI systems are able to adapt and learn and operate in a state that is independent. This independence is evident in AI security agents that can continuously monitor the network and find any anomalies. They can also respond real-time to threats in a non-human manner. Agentic AI is a huge opportunity in the cybersecurity field. The intelligent agents can be trained to detect patterns and connect them with machine-learning algorithms along with large volumes of data. They can sift through the chaos of many security incidents, focusing on the most crucial incidents, and providing a measurable insight for rapid responses. Agentic AI systems are able to learn from every interactions, developing their detection of threats and adapting to constantly changing tactics of cybercriminals. Agentic AI (Agentic AI) and Application Security Agentic AI is a broad field of applications across various aspects of cybersecurity, its influence on the security of applications is noteworthy. As organizations increasingly rely on highly interconnected and comple