Elastic replaces traditional SIEM game with AI-driven security analytics

Elastic has announced that Search AI will replace the traditional SIEM with an AI-driven security analytics solution for the modern SOC. Powered by the Search AI platform, Elastic Security is replacing largely manual processes for configuration, investigation and response by combining search and retrieval augmented generation (RAG) to provide hyper-relevant results that matter. The newest feature, Attack Discovery, triages 100s of alerts down to the few attacks that matter with a single button click, and returns results in an intuitive interface, allowing security operations teams to quickly understand the most impactful attacks, take immediate follow-up actions and more.

Elastic’s AI-driven security analytics is built on the Search AI platform, which includes RAG powered by the industry's foremost search technology. LLMs are only as accurate and current as the information they leverage: their underlying training data and the context provided with the prompt. As such, they require rich, up-to-date data to deliver accurate, tailored results - and efficiently gathering this confidential knowledge requires search. Search-based RAG delivers this context automatically and eliminates the need to build a bespoke LLM and constantly retrain it on ever-changing internal data.

"In India, where the cybersecurity landscape is rapidly evolving, the need for advanced, efficient solutions is paramount. Attack Discovery significantly advances threat detection and response time, allowing security teams to swiftly prioritise and address the most critical attacks," said Asjad Athick, Cybersecurity Lead, Asia Pacific and Japan at Elastic, "This ultimately bolsters the security posture and resilience of organisations, and can power productivity and supplement practitioner knowledge to speed up threat detection, investigation, and response.”

Attack Discovery uniquely leverages the Search AI platform to sort and identify which alert details should be evaluated by the LLM. By querying the rich context contained within Elastic Security alerts with the hybrid search capabilities of Elasticsearch, the solution retrieves the most relevant data to provide to the LLM and instructs it to identify and prioritize the few attacks accordingly. This includes data such as host and user risk scores, asset criticality scores, alert severities, descriptions and alert reasons.

Since its release in 2019, Elastic Security has grown to include some of the industry’s most advanced analytics capabilities, including 100+ prebuilt ML-based anomaly detection jobs to detect previously unknown threats. Last year, Elastic introduced Elastic AI Assistant for Security to help SOC analysts with rule authoring, alert summarisation, and workflow and integration recommendations.