SafeRide tackles connected vehicle security with machine learning

As concerns over security risks for connected vehicles continue to build, automotive cybersecurity company SafeRide Technologies believes unsupervised machine learning will help keep threat actors out of the driver's seats. Earlier this month, SafeRide launched its vXRay technology for connected vehicles' security operations center (SOC), which uses unsupervised machine learning technology to provide behavioral profiling and anomaly detection to improve connected vehicle security. Gil Reiter, vice president of product management and marketing at SafeRide, based in Tel Aviv, Israel, said vXRay is available for OEMs and fleet managers to integrate in their vehicles' SOC. "The vXRay technology establishes the normal behavior of the vehicle without any dependencies or without any knowledge of the specific electronic control unit properties," Reiter said. "Once the behavioral baseline of the vehicle is established, the technology can accurately detect and then flag any abnormal behavior of the vehicle system and report the abnormal behavior to the connected vehicle's SOC for further analysis."