https://www.linkedin.com/posts/chrishatter_finding-vulnerabilities-with-enough-context-activity-7191189441196011521-a8XL https://medium.com/@saljanssen/ai-models-in-appsec-9719351ce746 Introduction Artificial Intelligence (AI) is a key component in the continuously evolving world of cyber security it is now being utilized by businesses to improve their security. As the threats get increasingly complex, security professionals are turning increasingly to AI. While AI has been a part of the cybersecurity toolkit since the beginning of time but the advent of agentic AI can signal a new age of innovative, adaptable and contextually sensitive security solutions. The article explores the potential for the use of agentic AI to change the way security is conducted, with a focus on the applications that make use of AppSec and AI-powered automated vulnerability fix. Cybersecurity The rise of agentic AI Agentic AI is a term which refers to goal-oriented autonomous robots that can see their surroundings, make decision-making and take actions for the purpose of achieving specific goals. Agentic AI is different from conventional reactive or rule-based AI because it is able to be able to learn and adjust to the environment it is in, and also operate on its own. The autonomy they possess is displayed in AI agents for cybersecurity who can continuously monitor the network and find abnormalities. They can also respond immediately to security threats, with no human intervention. Agentic AI holds enormous potential in the field of cybersecurity. These intelligent agents are able to recognize patterns and correlatives through machine-learning algorithms and huge amounts of information. They can discern patterns and correlations in the multitude of security events, prioritizing those that are most important as well as providing relevant insights to enable immediate response. Agentic AI systems can be trained to improve and learn their abilities to detect security threats and adapting them