Weaponizing artificial intelligence (AI) to attack understaffed enterprises that lack AI and machine learning (ML) expertise is giving bad actors the edge in the ongoing AI cyberwar. ...
Eighty-eight percent of CISOs and security leaders say that weaponized AI attacks are inevitable, and with good reason. Just 24% of cybersecurity teams are fully prepared to manage an AI-related attack, according to a recent Gartner survey. Nation-states and cybercriminal gangs know that enterprises are understaffed, and that many lack AI and ML expertise and tools to defend against such attacks. In Q3 2022, out of a pool of 53,760 cybersecurity applicants, only 1% had AI skills. ...
In 2022, cybercriminal gangs also improved malware design and delivery techniques using ML, as first reported in CrowdStrike’s Falcon OverWatchthreat hunting report. The research discovered that malware-free intrusion activity now accounts for 71% of all detections indexed by CrowdStrike’s Threat Graph. Malware-free intrusions are difficult for perimeter-based systems and tech stacks that are based on implicit trust to identify and stop. ...
See the full story here: https://venturebeat.com/security/defensive-vs-offensive-ai-why-security-teams-are-losing-the-ai-war/