https://www.darkreading.com/application-security/ai-in-software-development-the-good-the-bad-and-the-dangerous Introduction Artificial intelligence (AI) which is part of the continually evolving field of cyber security has been utilized by companies to enhance their defenses. As threats become more sophisticated, companies have a tendency to turn towards AI. Although AI has been part of cybersecurity tools since a long time but the advent of agentic AI can signal a new age of proactive, adaptive, and contextually aware security solutions. This article focuses on the transformative potential of agentic AI, focusing on its applications in application security (AppSec) as well as the revolutionary concept of artificial intelligence-powered automated vulnerability-fixing. Cybersecurity A rise in agentsic AI Agentic AI can be which refers to goal-oriented autonomous robots that can discern their surroundings, and take the right decisions, and execute actions for the purpose of achieving specific objectives. Agentic AI differs from the traditional rule-based or reactive AI because it is able to be able to learn and adjust to changes in its environment and also operate on its own. The autonomy they possess is displayed in AI security agents that are able to continuously monitor the network and find any anomalies. They also can respond instantly to any threat with no human intervention. Agentic AI is a huge opportunity in the field of cybersecurity. With the help of machine-learning algorithms and huge amounts of information, these smart agents can detect patterns and correlations that analysts would miss. They can discern patterns and correlations in the noise of countless security threats, picking out the most crucial incidents, and providing actionable insights for quick reaction. Furthermore, agentsic AI systems can learn from each interactions, developing their detection of threats as well as adapting to changing methods used by cybercriminals. Agentic AI as well as Ap