The article by James Spiteri discusses how Elastic AI Assistant enhances threat response for security operations by integrating custom knowledge sources with large language models (LLMs) using Elastic's Search AI Platform and a technique called retrieval augmented generation (RAG). This approach addresses the limitations of LLMs in accessing up-to-date or private data by allowing security teams to seamlessly incorporate private data sources, such as threat intelligence reports and configuration management databases, into their AI workflows. The integration process, facilitated by a user-friendly interface, enables the Elastic AI Assistant to retrieve and reference relevant information securely and efficiently, respecting role-based access controls. The article also highlights future plans for further expanding the use of custom knowledge sources across other AI features in Elastic's ecosystem, emphasizing the scalability and flexibility of this approach in improving security analysts' productivity.