"Bad Actors Are Becoming More Successful at Evading AI/ML Technologies"

The Threat Research team at Deep Instinct monitored the different volumes and types of cyberattacks and analyzed their findings to help predict the future of cybersecurity, determine attackers' motivations, and highlight the steps that organizations should take to protect themselves. One of the key findings from this research is that malicious actors are becoming increasingly successful at evading Artificial Intelligence (AI) and Machine Learning (ML) technologies, which calls on organizations to increase their efforts towards developing and implementing more innovative solutions. Other key findings include a 170 percent increase in the use of Office droppers with a 125 increase in all types of threats combined. Findings suggest that the volume of all malware types is significantly higher versus pre-pandemic. In addition, threat actors have made a noticeable shift away from older programming languages, such as C and C++, towards Go and other newer languages. Attackers are suspected to be making this shift because newer languages are easier to learn and to program than their predecessors, and are less likely to be detected by cybersecurity tools or analyzed by security researchers since they are still less commonly used. As defense evasion and privilege escalation become more prevalent, the team expects to see continued efforts by bad actors to evade Endpoint Protection Platforms (EPP) and Endpoint Detection and Response (EDR) in 2022. Threat actors appear to be investing more in anti-AI and adversarial attack techniques, and applying these methods in their larger evasion strategy. This article continues to discuss key findings from Deep Instinct's research on 2021 threat trends. 

Help Net Security reports "Bad Actors Are Becoming More Successful at Evading AI/ML Technologies"