This podcast episode explores the challenges of adopting AI in security teams, including generative AI and large language models. It emphasizes the importance of thoroughness and accuracy in different data scenarios, as well as the complexities of managing AI models and the need for careful control and optimization. The discussion also highlights the significance of context and data management in incident response, the advantages of retrieval augmented generation (RAG) over fine-tuning, the use of AI in enhancing SEO poisoning techniques, and the potential of delegating cybersecurity tasks to computers. Overall, the episode showcases the potential impact of AI in security and the importance of utilizing these technologies to support developers and alleviate their security responsibilities.
