Security News > 2020 > February > Gurucul Risk Analytics platform automates threat detection and response for MITRE ATT&CK Framework

Gurucul, a leader in unified security and risk analytics technology for on-premises and the cloud, announced the Gurucul Risk Analytics platform has added and aligned machine learning models to detect and enable automated responses to adversarial tactics and techniques defined by the MITRE ATT&CK Framework.

"Gurucul customers using the MITRE ATT&CK Framework confirmed that these new advanced behavior models have been able to detect unknown threats associated with high risk third parties including customers, partners and contractors, that evaded signature-based approaches," said Nilesh Dherange, CTO of Gurucul.

"GRA is the only platform with ML Feature Analysis capability that provides immediate MITRE ATT&CK Framework data readiness and advanced model chaining to stitch together context across multiple behavioral indicators with a timeline view for intelligent investigations."

GRA uses behavior analytics and advanced threat chaining to detect unknown threat patterns by both users and entities beyond the tactics and techniques contained in the MITRE ATT&CK Framework.

Prepackaged behavior model templates in Gurucul STUDIO and threat hunting queries based on MITRE techniques, tactics, and procedures enable efficient threat hunting along with a contextual view for intelligent investigations.

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