SafeRide Technologies’ CAN Optimizer for enhanced cloud anomaly detection
SafeRide Technologies announced the launch of its CAN Optimizer solution, which is designed to dramatically decrease the bandwidth needed to upload raw controller area network (CAN) data to the cloud by providing 98-99% reduction in data size.
"Our machine learning model has proven to be sufficiently accurate that we only need to send data to the cloud when it does not follow the most probable prediction, which only happens a fraction of the time," said Yossi Vardi, CEO of SafeRide. "Combined with our vSentry multi-layer cybersecurity solution, CAN Optimizer allows for a whole new level of zero-day vulnerability detection capabilities, as well as fleet operation efficiency optimization. These advancements lead to drastic cost reduction in both data and storage for OEMs and fleet operators."
SafeRide developed its vSentry and CAN Optimizer solution with its partner, Irdeto.