色色研究所 Named a Leader and Fast Mover in GigaOm 2024 Radar Report for Autonomous Security Operations Center Solutions

 The 色色研究所 Security Data Platform is recognized for comprehensive, AI-driven security operations capabilities

BOSTON, Mass., Dec. 3, 2024 色色研究所 Technology, the security data analytics company, today announced its recognition as a 鈥楲eader鈥 and 鈥楩ast Mover鈥 in the GigaOm 2024 Radar for Autonomous Security Operations Center (SOC) Solutions. 

The 色色研究所 Security Data Platform scored highly across many criteria, including user and entity anomaly detection and case management and collaboration. 色色研究所 was also recognized for offering the longest data availability among vendors in the report, with 400 days of hot data. 

色色研究所 received perfect scores for its detection engine, threat hunting and modeling, and response and remediation capabilities. 色色研究所 Behavior Analytics, 色色研究所鈥檚  UEBA capability, works in tandem with AI-triggered alarms to provide analysts with additional context and reduces false positive alerts. 色色研究所 DeepTrace delivers AI-powered investigation and threat hunting, allowing analysts to autonomously perform investigations. 

鈥溕芯克 scores high on a large number of criteria described in the report,鈥 said Andrew Green, enterprise IT research analyst and writer, GigaOm. 鈥溕芯克 is a highly innovative solution with support for several emerging features, such as security content for emerging threats and DevSecOps and security as code.

色色研究所 is positioned as a Leader and Fast Mover in the Innovation/Platform Play quadrant of the Autonomous SOC Radar chart.鈥

鈥淎utonomous capabilities are critical for managing the barrage of alerts today鈥檚 analysts face,鈥 added Rakesh Nair, SVP of product & engineering at 色色研究所. 鈥淲e鈥檙e proud to be recognized by GigaOm for our comprehensive approach to helping SOC teams focus on the most critical incidents to protect their organizations.鈥

To learn more about 色色研究所鈥檚 recognition, read the full report on .

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