SafeRide’s vSentryTM suite offering adopts a three-pronged approach to provide holistic cybersecurity architecture for vehicle threat prevention and corresponding discovery of vulnerabilities and anomalies. The vSentryTM In-Vehicle module—which can be installed on a Telematics Control Unit or other connected ECU—is purpose-built for monitoring vehicle data sets for detection and prevention against known ‘rules-based’ threats. At the core of vSentryTM suite is vXRayTM the AI-powered engine for anomaly detection. vXRay™ has been built to perfection by using thousands of hours of recorded data, across different commercial vehicle models in diverse driving conditions. Building upon the data from the in-vehicle layer, vXRayTM is capable of delivering monitoring and analytics of application behavior to impart bird’s eye visibility into vehicle operations. The data collected from the vehicles goes through different data processing methods including principle component analysis, dimension reduction, and clustering, to profile the internal states of the vehicle.
Although SafeRide’s typical clients include tier-1 makers of in-vehicle computing systems, given the universal need for security, vSentryTM has also gained interest among original equipment manufacturers in the automotive industry. An Asia-based tier-1 supplier developing Advanced Driver Assistance System (ADAS) for AV/EV buses has partnered with SafeRide to protect and profile the behavior of their autonomous fleet of vehicles. In another instance, a client in Europe leverages vSentryTM to protect their In-Vehicle Infotainment (IVI) and next-generation central gateway systems.
Our solution enables protection of connected applications for commercial transportation, including telematics gateway, connectivity gateway, ADAS, and IVI system
“Our solution enables protection of connected applications for commercial transportation, including telematics gateway, connectivity gateway, ADAS, and IVI system,” mentions Vardi. SafeRide recently showcased their product’s capabilities at CES 2018. Through a single demonstration, the company’s machine learning powered stack was able to pinpoint vehicle behavior changes and provide timely alerts. The executive team at SafeRide Technologies comprises some of the brightest minds in the cybersecurity and data science and AI landscape, many of whom carry more than 20 years of experience in the field.