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Elastic changes the SIEM game with AI-driven security analytics

Blog post from Elastic

Post Details
Company
Date Published
Author
Santosh Krishnan,
Word Count
1,116
Language
-
Hacker News Points
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Summary

Elastic is revolutionizing the traditional Security Information and Event Management (SIEM) approach with its AI-driven security analytics, emphasizing the prioritization of attacks over alerts through its new Attack Discovery feature powered by the Search AI Platform. This innovative system aims to alleviate the manual burden on security operations centers (SOCs) by leveraging search and retrieval augmented generation (RAG) technology to sift through data, identify critical threats, and suggest specific remediations. Elastic Security, since its introduction in 2019, has integrated advanced analytics capabilities, such as prebuilt machine learning-based anomaly detection jobs, to enhance threat detection and response. The Elastic AI Assistant further aids security analysts by offering rule authoring and workflow recommendations, with the new Attack Discovery feature enabling rapid triage of alerts to identify significant attacks. Elastic's AI-driven solutions aim to boost SOC productivity and efficiency by eliminating the need for extensive manual effort, thereby empowering security teams to handle threats more effectively. Elastic's approach combines large language models with search capabilities to deliver accurate results without the constant need for retraining, ensuring that security operations are informed by the most current and relevant data.