An agentic workflow in cybersecurity refers to automated processes managed by AI agents capable of making autonomous decisions and executing tasks in response to cyber threats. Unlike traditional automation, agentic workflows leverage advanced machine learning and reasoning to adapt to evolving threats, analyze large datasets, and respond in real time without human intervention. This approach enhances the speed and accuracy of threat detection, incident response, and system recovery. By reducing the reliance on human operators, agentic workflows help organizations respond to complex attacks more efficiently and minimize potential damage. However, they also introduce new security considerations, such as ensuring the reliability and ethical behavior of autonomous agents.