Partners Kaitlin Betancourt, Peter Marta, and Jud Welle write that over the past two years, as artificial intelligence and machine learning (AI/ML) technology is adopted by companies around the globe to reshape how they operate, a wide range of cybersecurity risks may be introduced into their organizations.
The expanded availability and deployment of AI/ML systems create new vectors for cyberattacks against an organization, place powerful new tools in the hands of adversaries, increase reliance on the security practices of technology vendors, multiply software supply chain vulnerabilities and significantly increase the risk of insider threat behavior. Professionals serving companies in the areas of cybersecurity, risk management and incident response must therefore understand the fundamentals of AI/ML systems’ operations, the unique threats they pose and the criticality of implementing sound governance and risk management practices.
This chapter serves as a ‘point-in-time’ primer on those topics to help prepare for and contend with the AI/ML revolution that is taking place. Read the Global Investigations Review chapter for more.