Machine Learning

Learn how Threat Stack uses the power of machine learning and ThreatML to quickly uncover anomalies across cloud workloads, inform your team with better recommendations, and empower our cloud security experts with more in-depth telemetry

7 total resources.

eBook
Evaluating An ML-based Cloud Security Solution

This ebook explores the criteria that should be assessed when evaluating an ML for cloud security solution ...
Webinar
Chaim Mazal, CISO of ActiveCampaign: Lessons Learned Through the Lens of a CISO

This year brought unprecedented changes to how businesses function, employees work, and how security organizations enable and protect it all. Chaim ...
Webinar
Introducing ThreatML by Threat Stack: ML-based Anomaly Detection to Accelerate Cloud Security and Compliance

Come learn about the benefits of ThreatML - Threat Stack’s new machine learning (ML) capability to enhance our Cloud Security Platform and ...
Webinar
Webinar
How to Make the Promise of Machine Learning a Reality

Machine learning is often discussed as a silver bullet solution to every cloud security challenge, but when push comes to shove it has fallen short ...
Whitepaper
eBook:
Full Stack Security Observability With ThreatML™

The vision for Threat Stack's machine learning strategy, ...
eBook
eBook
Navigating the ‘Knowns and Unknowns’ of Cloud Security

Four steps to uncover known and unknown security risks, combining behavioral rules and ML-based anomaly ...
Webinar
SANS Webinar: How to Deliver on the Promise of Machine Learning

Watch this webinar to learn how you can use telemetry, rules, and human expertise to unlock the true power of machine ...