https://www.linkedin.com/posts/qwiet_gartner-appsec-qwietai-activity-7203450652671258625-Nrz0 In the ever-evolving landscape of cybersecurity, where the threats get more sophisticated day by day, organizations are looking to artificial intelligence (AI) to strengthen their defenses. AI, which has long been an integral part of cybersecurity is currently being redefined to be agentic AI and offers proactive, adaptive and fully aware security. This article examines the possibilities for agentsic AI to improve security with a focus on the uses of AppSec and AI-powered automated vulnerability fixes. The Rise of Agentic AI in Cybersecurity Agentic AI refers to goals-oriented, autonomous systems that understand their environment as well as make choices and take actions to achieve the goals they have set for themselves. Agentic AI is different from conventional reactive or rule-based AI as it can learn and adapt to its environment, as well as operate independently. When it comes to cybersecurity, this autonomy can translate into AI agents that can continuously monitor networks, detect irregularities and then respond to dangers in real time, without continuous human intervention. The application of AI agents in cybersecurity is immense. By leveraging machine learning algorithms and vast amounts of data, these intelligent agents can identify patterns and correlations which analysts in human form might overlook. They can discern patterns and correlations in the chaos of many security threats, picking out the most critical incidents and providing a measurable insight for quick response. Agentic AI systems can be trained to improve and learn their capabilities of detecting risks, while also adapting themselves to cybercriminals' ever-changing strategies. Agentic AI and Application Security Agentic AI is an effective device that can be utilized in a wide range of areas related to cyber security. But, the impact it has on application-level security is noteworthy. The security of a