Threat Stack Unveils Machine Learning Capabilities in The Threat Stack Cloud Security PlatformⓇ
Summary
ThreatML leverages this rich telemetry to train its machine learning models, which are then used to detect anomalous behavior. “We’re thrilled about the addition of machine learning to the Threat Stack Cloud Security Platform, Oversight and Insight,” said Anthony Moisant, CIO, Glassdoor. “Threat Stack’s combination of platform and services has always provided us with extremely detailed security telemetry and actionable recommendations on risk mitigation. Applying anomaly detection on top of that will be a huge benefit to our security team as we continue to evolve and grow our cloud infrastructure.” “Machine learning is often promoted as a silver bullet solution to all problems,” said Brian Ahern, CEO, Threat Stack. This provides our customers with better security coverage, unparalleled contextual findings, and cost benefits by reducing mean time to know and respond to threats.” To learn more about ThreatML and how Threat Stack is combining cloud infrastructure telemetry, rules, human expertise, and machine learning to detect both known and unknown risk in cloud environments, visit: www.threatstack.com/threatml and register for the upcoming webinar titled Introducing ThreatML by Threat Stack: ML-based Anomaly Detection to Accelerate Cloud Security and Compliance.
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