Agentic reasoning refers to the capability of artificial intelligence (AI) systems to plan, make decisions, and act autonomously to achieve specific objectives. In cybersecurity, agentic reasoning enables AI-driven tools to independently detect threats, respond to incidents, and adapt their strategies without constant human oversight. This reasoning involves evaluating multiple possible actions, predicting outcomes, and selecting the most effective course based on situational awareness. The use of agentic reasoning in cybersecurity can enhance threat detection, automate responses, and improve overall system resilience. However, it also introduces risks, such as unintended actions or vulnerabilities if the AI's reasoning is flawed or manipulated.