Non-Malware Attacks on the Rise
March 31, 2017
Results from more than 400 interviews with leading cybersecurity researchers have been released which discuss non-malware attacks, artificial intelligence (AI) and machine learning (ML), among other topics.
“Based on how cybersecurity researchers perceive current AI-driven security solutions, cybersecurity is still very much a ‘human vs. human’ battle, even with the increased levels of automation seen on both the offensive and defensive sides of the battlefield,” said Carbon Black Co-founder and Chief Technology Officer, Michael Viscuso. “And, the fault with machine learning exists in how much emphasis organizations may be placing on it and how they are using it. Static, analysis-based approaches relying exclusively on files have historically been popular, but they have not proven sufficient for reliably detecting new attacks. Rather, the most resilient ML approaches involve dynamic analysis – evaluating programs based on the actions they take.”
The results were definitive, pointing to the following trends:
In addition to key statistics from the research, the report also
includes a timeline of notable non-malware attacks,
recommendations for incorporating AI and ML into cybersecurity
programs and an “In Their Own Words” section, which includes
direct quotes from cybersecurity researchers and unique
perspectives on the evolution of non-malware attacks.