https://www.darkreading.com/application-security/ai-in-software-development-the-good-the-bad-and-the-dangerous Introduction Artificial intelligence (AI) as part of the continuously evolving world of cybersecurity is used by corporations to increase their defenses. As the threats get increasingly complex, security professionals tend to turn to AI. AI was a staple of cybersecurity for a long time. been part of cybersecurity, is now being re-imagined as an agentic AI that provides proactive, adaptive and contextually aware security. The article explores the possibility for agentsic AI to improve security and focuses on applications that make use of AppSec and AI-powered vulnerability solutions that are automated. The rise of Agentic AI in Cybersecurity Agentic AI is a term that refers to autonomous, goal-oriented robots able to perceive their surroundings, take decisions and perform actions for the purpose of achieving specific goals. Unlike traditional rule-based or reactive AI, agentic AI systems are able to learn, adapt, and operate with a degree of detachment. When it comes to cybersecurity, that autonomy translates into AI agents that are able to continuously monitor networks, detect anomalies, and respond to attacks in real-time without the need for constant human intervention. The power of AI agentic in cybersecurity is immense. Intelligent agents are able to detect patterns and connect them with machine-learning algorithms as well as large quantities of data. They can sift through the noise of many security events prioritizing the most important and providing insights that can help in rapid reaction. Agentic AI systems can be trained to grow and develop their ability to recognize risks, while also being able to adapt themselves to cybercriminals constantly changing tactics. Agentic AI and Application Security Agentic AI is a powerful tool that can be used in many aspects of cyber security. The impact its application-level security is significant. Secure applica