Bot vs. Bot For Evading Machine Learning Malware Detection
Machine learning offers opportunities to improve malware detection because of its ability to generalize to never-before-seen malware families and polymorphic strains. This has resulted in its practical use for either primary detection engines or supplementary heuristic detections by AV vendors. However, machine learning is also especially susceptible to evasion attacks by, ironically but unsurprisingly, other machine learning methods.
Join Hyrum Anderson, Principal Data Scientist, in this webinar to learn:
- How to teach the machine learning detector about its blind spots
- How machine learning reacts in the face of sophisticated adversaries
- Endgame's machine learning approach