https://teal-azalea-z93ht5.mystrikingly.com/blog/agentic-artificial-intelligence-frequently-asked-questions-0b931ad1-1e7b-4930-ac89-1a7b1a2c7309 Introduction In the rapidly changing world of cybersecurity, where the threats grow more sophisticated by the day, companies are using artificial intelligence (AI) for bolstering their defenses. Although AI has been part of cybersecurity tools for a while but the advent of agentic AI is heralding a revolution in intelligent, flexible, and contextually aware security solutions. This article examines the transformative potential of agentic AI by focusing specifically on its use in applications security (AppSec) and the groundbreaking idea of automated vulnerability fixing. Cybersecurity is the rise of artificial intelligence (AI) that is agent-based Agentic AI relates to goals-oriented, autonomous systems that can perceive their environment, make decisions, and make decisions to accomplish particular goals. Agentic AI is different from the traditional rule-based or reactive AI in that it can adjust and learn to its surroundings, as well as operate independently. The autonomous nature of AI is reflected in AI agents in cybersecurity that have the ability to constantly monitor the networks and spot abnormalities. Additionally, they can react in with speed and accuracy to attacks and threats without the interference of humans. Agentic AI offers enormous promise in the cybersecurity field. By leveraging machine learning algorithms as well as huge quantities of data, these intelligent agents can identify patterns and similarities that analysts would miss. Intelligent agents are able to sort through the chaos generated by numerous security breaches, prioritizing those that are most significant and offering information for rapid response. Moreover, agentic AI systems can gain knowledge from every incident, improving their threat detection capabilities as well as adapting to changing tactics of cybercriminals. Agentic AI (Agentic AI)