Gurucul Risk Analytics platform automates threat detection and response for MITRE ATT&CK Framework - Help Net Security

Gurucul Risk Analytics platform automates threat detection and response for MITRE ATT&CK Framework - Help Net Security

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


Gurucul’s ML models span users and entities across hybrid/ borderless environments combined with advanced threat chaining provides 83 percent coverage for MITRE ATT&CK indicators of compromise and unprecedented visibility for organizations to understand and improve their security posture.


“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 ..

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