Geotab processes 100 billion data points daily from more than 5 million vehicle subscriptions across approximately 100,000 global customers. The attack surface is massive and real-time: connected vehicle telematics generating continuous streams of location, engine, driver behavior, and asset data from fleets spanning Fortune 500 companies and public sector agencies. That pipeline - spanning AI and machine learning models, third-party integrations via the Geotab Marketplace, and SDK access for external developers - means the threat model includes API exploitation, data exfiltration at scale, supply-chain compromise through partner integrations, and the unique risks of OT/IoT convergence in vehicle networks.
The company holds FIPS 140-3 and FedRAMP authorizations, signaling a security posture built for government-grade compliance rather than checkbox audits. Based in Oakville, Ontario with a global footprint and over 2,700 employees, Geotab has spent 25+ years building out its connected vehicle and asset management platform. The open ecosystem architecture - where hundreds of third-party solutions plug into the platform - creates an extended trust boundary that security teams must continuously model and defend.
Technical domains span connected vehicle telematics, data analytics, AI, and machine learning. The scale and specificity of the data - vehicle telemetry tied to real-world physical assets and driver identity - raises the stakes beyond typical SaaS security. This is infrastructure security for the physical world, with compliance frameworks that reflect that reality.
