Machine Learning: The Gold Standard for Threat Detection

Machine learning is a powerful tool with many well-suited applications for malware detection, classification, and risk quantification. Despite its reputation as a "black box" component to an enterprise security solution, designing a robust machine learning model for malware detection is an involved process: its success hinges on understanding the problem you're trying to solve, the underlying data you utilize, and most importantly, its limitations.

In this Malware Most Wanted session, we analyze working models discuss the strengths, pitfalls, and high-level trade-offs of using machine learning for successful malware detection.