https://telegra.ph/Agentic-Artificial-Intelligence-Frequently-Asked-Questions-03-14 Introduction Artificial intelligence (AI) which is part of the ever-changing landscape of cybersecurity, is being used by businesses to improve their security. Since threats are becoming increasingly complex, security professionals are increasingly turning towards AI. AI, which has long been a part of cybersecurity is now being re-imagined as an agentic AI and offers active, adaptable and fully aware security. This article examines the possibilities for agentic AI to change the way security is conducted, specifically focusing on the applications that make use of AppSec and AI-powered automated vulnerability fixing. The rise of Agentic AI in Cybersecurity Agentic AI can be which refers to goal-oriented autonomous robots which are able detect their environment, take the right decisions, and execute actions in order to reach specific objectives. Contrary to conventional rule-based, reactive AI systems, agentic AI machines are able to adapt and learn and work with a degree of independence. In the context of cybersecurity, this autonomy is translated into AI agents who constantly monitor networks, spot irregularities and then respond to dangers in real time, without the need for constant human intervention. of AI agentic for cybersecurity is huge. The intelligent agents can be trained to identify patterns and correlates with machine-learning algorithms along with large volumes of data. These intelligent agents can sort through the chaos generated by several security-related incidents, prioritizing those that are most important and providing insights that can help in rapid reaction. Additionally, AI agents are able to learn from every encounter, enhancing their detection of threats as well as adapting to changing strategies of cybercriminals. Agentic AI as well as Application Security Agentic AI is a broad field of uses across many aspects of cybersecurity, its effect on security for appli