Elastic, renowned for its innovations in Search AI, has announced the release of the Elastic AI SOC Engine (EASE). Targeted at strengthening security frameworks, EASE is a serverless tool designed to seamlessly integrate AI into existing SIEM and EDR systems without necessitating immediate migrations.
Offering agentless integrations, EASE employs Elastic's acclaimed Attack Discovery for AI-driven alert correlation. An AI Assistant complements this to expedite the identification of covert threats, thus shaving ample time off manual investigations. Deployed through Elastic Cloud, EASE enables security teams to prioritise threats effectively, reducing the burden of alert fatigue and optimising current security investments.
Santosh Krishnan, General Manager, Observability & Security from Elastic observed, "SOC analysts are overwhelmed by high alert volumes and lack the AI support then need from their existing SIEM and EDR solutions to investigate threats effectively," EASE bridges this gap, ushering Elastic’s AI capabilities into familiar security tools, automatically prioritising threats and speeding up investigations. Ultimately, this leads to a streamlined migration path towards Elastic Security, integrating SIEM, XDR, and cloud security.
EASE stands out with its ability to deploy quickly, delivering immediate benefits to vendors like Splunk, Microsoft Sentinel, and CrowdStrike. Key features include:
According to Michelle Abraham from IDC, “EASE is tackling a common challenge: how to bring open and transparent AI into the SOC without starting from scratch.” This breakthrough tool empowers security teams to advance their threat detection and investigation efforts without overhauling their existing infrastructure.