Security News > 2020 > November > Threat Stack Cloud Security Platform gets machine learning capabilities

Threat Stack announced ThreatML, its new machine learning engine that enhances security observability for the Threat Stack Cloud Security Platform, Threat Stack Oversight, and Threat Stack Insight with anomaly detection.

The Threat Stack Cloud Security Platform collects, normalizes, and analyzes over 60 billion events per day from customer cloud infrastructure and applications.

Together, Threat Stack's rules engine and advanced machine learning capabilities allow customers to quickly detect, prioritize, and respond to both known and unknown threats.

"We're thrilled about the addition of machine learning to the Threat Stack Cloud Security Platform, Oversight and Insight," said Anthony Moisant, CIO, Glassdoor.

"With the introduction of ThreatML we are combining the industry's best security telemetry, rules engine, human expertise, and now machine learning to create a truly powerful cloud security solution capable of detecting known and unknown risks. This provides our customers with better security coverage, unparalleled contextual findings, and cost benefits by reducing mean time to know and respond to threats."

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