How to Make the Promise of Machine Learning a Reality
Webinar
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Sponsored by Threat Stack
Thursday, October 29, 2020
3 p.m. EDT
What You’ll Learn in This Webinar
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 of delivering on that promise. That’s because marketing hype has led to unrealistic expectations of machine learning. The reality is that machine learning is just one piece of the puzzle.
This webinar will discuss how to get real value out of machine learning in your cloud security. It will cover:
- Optimizing your data for machine learning - Effective machine learning needs strong telemetry that covers the three V’s of big data (volume, velocity and variety).
- How to identify both known and unknown risks - Machine learning is great at anomaly detection but what if normal behavior is risky? What if an anomaly isn’t a threat?
- Creating a real human-machine feedback loop - Despite the power of machine learning, the complex and ephemeral nature of today’s cloud workloads still requires human expertise to provide context to observations.
Christopher Ford
VP of Product - Threat Stack
Chris is the vice president of product at Threat Stack, where he is responsible for product management and user experience. He brings more than 20 years of experience leading product teams and building innovative security solutions, including data loss prevention, enterprise mobility management and secure cloud collaboration. Prior to joining Threat Stack, Chris was chief product officer at Blue Cedar Networks and senior vice president of product management at Intralinks, a secure cloud collaboration platform.
