Elastic 8.9: Meet the Elastic AI Assistant for Security and ML-powered SIEM
Today, we are pleased to announce the general availability of Elastic 8.9.
Elastic Security unifies SIEM, endpoint security, and cloud security to detect, investigate, and respond to threats at cloud scale.
- Read about the beta release of Elastic AI Assistant for Security, powered by ESRE™, which helps guide analyst investigation. Or check out the general availability of several new features, including enhanced rule management and tuning, advanced analytics for Lateral Movement Detection, upload command for faster remediation response, and augmented onboarding via support for AWS CloudFormation. More details are in our Elastic Security highlights blog or in the 8.9 release notes.
Elastic Search helps developers implement modern search and discovery experiences.
- Read about the tech preview of Reciprocal Rank Fusion (part of ESRE) for hybrid search for even more performant search experiences, new ServiceNow and Dropbox connectors, and more in the Elastic Search highlights blog or in the 8.9 release notes.
Elastic Observability transforms metrics, logs, and traces into actionable IT insights to unify observability across the digital ecosystem.
- Read about the tech preview of Elastic AI Assistant for Observability, powered by ESRE, and the potential to achieve up to a 70% reduction in storage through the general availability of cost savings integrations leveraging Elastic TSDS. Both are found in our Elastic Observability highlights blog or in the 8.9 release notes.
All of Elastic’s out-of-the box solutions are built on one platform — the Elasticsearch platform. All users, regardless of use case, benefit from core enhancements:
- The general availability of better performance features like faster search aggregations, cross cluster searches, and high cardinality aggregations
- The general availability of semantic search using dense vector embeddings in a single API call or dense vector search acceleration
- The general availability of ResponseOps (Kibana Alerting) and GAI-enhanced log rate spike explanations
- Combining different search strategies with new components of ESRE like Elastic’s Learned Sparse Encoder with BM25 text ranking and applying additional relevance using Reciprocal Rank Fusion (RRF), now in Tech Preview
- More details are in the Elasticsearch platform highlights blog or in the 8.9 release notes
The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.