The rapid shift toward Software-Defined Vehicles (SDVs) has made modern vehicles extremely complex, with more than 100 million lines of code powering critical functions such as battery management and charging communication. Each line of code is a potential entry point for cyberattacks, and attackers are growing more sophisticated every year. Yet, current prevention practices have not kept pace. Developers face intense delivery pressures and strict compliance requirements, but existing security tools are reactive, generate high false positives, and often miss vulnerabilities specific to embedded automotive systems. This gap exposes modern vehicle manufacturers to costly recalls, operational disruptions, and major safety risks.

TrinovaQ is an AI-powered software tool that helps software-defined vehicle (SDV) developers secure their embedded systems from the earliest stages of development. Delivered as a lightweight extension for Visual Studio Code, it automatically scans and detects hidden vulnerabilities in critical software components. By providing accurate, real-time vulnerability detection and actionable remediation guidance, TrinovaQ enables developers to build secure software “by design.” This reduces costly late-stage fixes and recalls while strengthening the safety, reliability, and resilience of the growing mobility ecosystem.