US-CERT study predicts machine learning, transport systems to become security risks

US-CERT study predicts machine learning, transport systems to become security risks

The Carnegie-Mellon University's Software Engineering Institute has nominated transport systems, machine learning, and smart robots as needing better cyber-security risk and threat analysis. That advice comes in the institute's third Emerging Technology Domains Risk Survey, a project it has handled for the US Department of Homeland Security's US-CERT since 2015.