The Evolution from ML to Generative AI in Cybersecurity

The guest speaker, Shil Surkar, discusses the evolution of machine learning (ML) to generative AI in the field of cybersecurity. He highlights that ML algorithms have been available for a long time but have become more accessible due to advancements in cloud computing and increased availability of compute resources. With these advancements, ML algorithms can be trained on vast datasets and applied in various consumer applications. In the context of cybersecurity, ML has been useful for predictive modeling, which is crucial for preventing malware attacks. Shil emphasizes the need for preventive AI and discusses the importance of predictive AI as a defense mechanism against threats. He also mentions the prevalence of generative AI, which allows for the generation of new content based on learned experiences. Overall, Shil highlights that ML and AI are essential tools in the field of cybersecurity and emphasizes the need for their adoption to effectively protect against evolving threats.