AI is the present of security

AI has long played a significant role in enhancing security, with its capabilities in pattern recognition and fuzzy logic proving invaluable for tasks such as identifying abnormal behaviors and flagging security events. The advent of generative AI has democratized access to security tools, enabling even those without deep expertise to address vulnerabilities by leveraging AI-driven insights. Large Language Models (LLMs) and Model Control Planes (MCPs) are game-changers, facilitating more efficient security event investigations and allowing engineers to focus on higher-level tasks. However, the same technology that assists defenders is also available to cybercriminals, who may use it for social engineering or more personalized attacks. Despite AI's potential, it is not without limitations, such as generating noise and being difficult to audit. Therefore, while AI can significantly enhance security measures, it is crucial to maintain runtime protection as a robust defense and remain vigilant about AI's imperfections.