Herzliya, Tel Aviv District, IL (Hybrid)2 open jobs
Upstream Security provides a cloud-based, AI-powered cybersecurity and data analytics platform for connected vehicles and Physical AI, turning distributed telemetry into live digital twins for threat detection, response, and quality monitoring.
Upstream Security builds a cloud-based, AI-powered cybersecurity and data analytics platform aimed at connected vehicles, smart mobility, and the wider Physical AI ecosystem. The threat model here is specific: adversaries targeting fleets, mobility infrastructure, and autonomous physical systems, where a compromise shows up as behavior in telemetry long before it shows up in an alert. The platform ingests and normalizes distributed telemetry, events, and signals, then reconstructs them as live digital twins that expose component behavior, operational context, and anomalies at fleet scale.
The technical surface spans several domains at once: AI/ML-driven detection and anomaly detection over contextualized telemetry, agentic AI investigations, cyber threat intelligence feeding the detection pipeline, runtime AI and API security for connected and autonomous systems, and advanced analytics for both security and operational insight. Detection and response products cover threats against connected vehicles, mobility systems, and connected assets; proactive quality detection looks for quality and safety problems before they cause major disruption. A managed SOC offering combines machine-learning detection, agentic investigations, and human analysts.
The customer base skews toward automotive OEMs, fleet operators, industrial operators, and enterprises running connected assets - teams that care as much about regulatory compliance and quality signals as about intrusions. Security engineering work at Upstream Security tends to sit at the intersection of large-scale telemetry ingestion and normalization, ML models tuned to physical-system behavior, and the tooling needed to make investigations fast and legible.
