At Scale Anomaly Detection for Enterprise Security - Joshua Neil, Microsoft
Alan Turing Institute via YouTube
Google AI Professional Certificate - Learn AI Skills That Get You Hired
Get 50% Off Udacity Nanodegrees — Code CC50
Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore a modular, scalable system for streaming anomaly detection in enterprise cybersecurity through this comprehensive talk by Joshua Neil from Microsoft. Delve into the workings of Microsoft Defender Advanced Threat Protection and learn how the Endpoint Detection and Response research team utilizes near real-time telemetry from networked computers to design detection methods. Discover the importance of data-driven techniques, including supervised and unsupervised learning, in post-breach scenarios where attackers have already penetrated enterprise perimeters. Gain insights into the challenges of scale when monitoring millions of endpoints and hear real user stories of successful detections. Understand the critical role of unsupervised approaches in situations with limited labels and numerous attacker options.
Syllabus
At Scale Anomaly Detection for Enterprise Security: Joshua Neil, Microsoft
Taught by
Alan Turing Institute