Evaluating An ML-based Cloud Security Solution

For modern cloud environments and for on-premises infrastructure making the transition, comprehensive cloud security coverage requires behavior-based alerting rules, ML-generated insights, and human expertise. These elements must work together to deliver high-precision detection that optimizes a security organization’s ability to
respond to both known and unknown threats.
This ebook explores the criteria for assessing a ML-based security solution and how Threat Stack’s human-machine feedback loop approach to cloud security enables security organizations to realize the promise of intelligent security through preserving the value of detailed telemetry while automating human-intensive triage work — ultimately helping security teams more efficiently and effectively protect their critical infrastructure and applications.