Upstream Security builds a cloud-based, AI-powered platform for securing connected vehicles, smart mobility systems and the wider Physical AI ecosystem. Its central function is to ingest and normalize distributed telemetry, events and signals from connected assets, converting them into live digital twins that expose component behaviour, operational context and potential anomalies across entire fleets. The engineering work spans several domains: cybersecurity, machine learning, digital twins, telemetry and data normalization, anomaly detection, API security, runtime AI security, cyber threat intelligence and advanced analytics.
The product line includes Cybersecurity Detection and Response for threats against connected vehicles and physical systems; Runtime AI and API Security for AI systems in operation and the APIs used by connected assets; and Cyber Threat Intelligence derived from the contextual data layer of those assets. Proactive Quality Detection is aimed at surfacing quality and safety problems before they cause major disruption, while Advanced Analytics runs over contextualized fleet and connected-asset data. Managed SOC Services combine machine-learning detection, agentic investigations and human expertise.
Customers are automotive OEMs, smart mobility providers, fleet operators, industrial operators and enterprises responsible for connected assets. The platform is positioned around regulatory-compliance capabilities and around helping organizations identify threats earlier, investigate incidents faster and maintain resilience. Further information is available at https://upstream.auto/.
