Black Hat USA 2017: Machine learning is not a silver bullet for security
Machine learning brings new opportunities in the software security realm by offering new ways to handle data, detect malware and improve solutions. However, the problem with machine learning today is that it can be marketed as a silver bullet to catch all things in the security industry, when in reality the technology still has many weaknesses. Hyrum Anderson, technical director of data science for cybersecurity provider Endgame, presented research on machine learning malware evasion at this week’s Black Hat USA 2017 conference in Las Vegas.
Read more from Hyrum's interview at SDTimes.