The research revealed that while over half of organisations use artificial intelligence (AI) or machine learning in their security stack, nearly 60 percent are still more confident in cyberthreat findings verified by humans over AI. The survey responses, along with the theme of "Human Element" at RSA Conference 2020, reflect the need for security organisations to incorporate both AI- and human-centric offerings, especially in the application security space. Three-quarters of respondents use an application security tool, and more than 40 percent of those application security solutions use both AI-based and human-based verification. AI and machine learning have provided several advantages for cybersecurity professionals overall the past several years, especially in the face of the technology talent gap, which has left 45 percent of respondents' companies lacking a sufficiently staffed cybersecurity team. More than 70 percent of respondents agree that AI-based tools made their cybersecurity teams more efficient by eliminating over 55 percent of mundane tasks.

SAN FRANCISCO – As companies quickly adopt machine learning systems, cybercriminals are close behind scheming to compromise them. That worries legal experts who say a lack of laws swing open the door for bad guys to attack systems. During a panel session at RSA Conference 2020 this week, Cristin Goodwin, the assistant general counsel with Microsoft, said the number of machine learning related U.S. court cases is a mere 52. She noted most were related to patents, workplace discrimination and even gerrymandering. Few court cases addressed actual cyberattacks on machine learning systems – demonstrating a dangerous dearth in legal precedent around the technology.