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How AI-Powered IOAs and Behavioral ML Detect Advanced Threats at Runtime [NAM]

Presented by

Joel Spurlock (Sr. Director, Malware Research), Joe Faulhaber (Principal Engineer, CrowdStrike)

About this talk

Many organizations today use machine learning (ML) for malware classification and static file analysis. While this can be useful for detecting and responding to file-based threats pre-execution, adversaries continue to evolve their methods. Today’s attacks more often use malware-free or fileless attacks, which have rapidly grown to represent over 70% of all attacks*. Join CrowdStrike’s Joel Spurlock, Sr. Director, Malware Research and Joe Faulhaber, Principal Engineer for a webinar where you will: • Hear how behavioral ML and AI-powered indicators of attacks help cybersecurity teams stay ahead of today’s adversaries • Discover how behavioral ML at runtime enables you to analyze adversary intent and movement, regardless of malware or tools used • See a demo of CrowdStrike’s ML and AI-power detection and investigation processes
CrowdStrike

CrowdStrike

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Insightful, education and actionable content for security teams
CrowdStrike has redefined security with the world’s most advanced cloud-native platform for protecting critical areas of risk — endpoints and cloud workloads, identity, and data. The Falcon® platform harnesses real-time threat intelligence and enterprise telemetry to automate threat prevention, detection, remediation, hunting, and vulnerability observability through a single, intelligent, lightweight agent.
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