LogRhythm launches cloud-based threat detection analytics
Cyber security vendor enhances threat lifecycle management with advanced analytics that leverage artificial intelligence
IT security intelligence LogRhythm, CloudAI, a technology designed to help customers across the globe avoid damaging cyber incidents such as high-profile data breaches.
According to the company, CloudAI is an advanced cloud-based security analytics offering that is available as a fully integrated, add-on subscription service for the LogRhythm Threat Lifecycle Management Platform.
The vendor said initially focused on extending and enhancing its existing user and entity behavior analytics (UEBA) capabilities, CloudAI uses artificial intelligence to detect advanced threats that employ unknown attacks and unknown methods and provide security teams immediate visibility into emerging and active user-based threats.
"We believe artificial intelligence holds the promise to transform the accuracy of threat detection and automate broad categories of work within the SOC," said Chris Petersen, LogRhythm CTO and senior vice president, Research and Development. "CloudAI has the potential to be a leap forward in the evolution of the AI-enabled SOC, giving organisations the capability to significantly improve the efficacy of their threat detection and response programs."
CloudAI's UEBA capabilities work in conjunction with LogRhythm's existing scenario-based analytics and extensive library of field-proven threat models, which are designed to detect the known tactics, techniques and procedures of threat actors.