Elastic and OpenAI collaborate to bring frontier intelligence to unstructured enterprise data

This post details the expanded collaboration between Elastic and OpenAI to bring frontier intelligence to unstructured enterprise data. It focuses on how Elasticsearch serves as a context layer for agentic AI, enabling context-aware AI agents that retrieve accurate, permission-aware enterprise knowledge at scale with fewer tokens. It highlights the practical challenge of retrieval, mentioning Elasticsearch's combination of lexical and vector search, semantic reranking, filters, and access controls, citing internal retrieval tests that delivered 0.89 recall and complete data protection. The post also discusses economic considerations, noting that precomputed Knowledge Indicators reduced input-token use by up to 75% in an experiment while increasing answer accuracy. It introduces Elastic Agent Builder's role in improving context and delivering relevance and efficiency with OpenAI models. For observability, it explains how Elastic Observability brings AI application signals together with traditional telemetry, enabling agentic investigations and remediation. For security, it describes Elastic Security as an agentic security operations platform that unifies SIEM, XDR, and automation, using OpenAI's models to correlate alerts into attack chains and assist with triage and response. It mentions Visa's experience cutting triage time and Airtel's faster triage and analysis. The post also touches on Elastic's integration with OpenAI's Compliance Logs Platform and future plans for GPT-5.5 Cyber specific models and general availability of Knowledge Indicators.