Sergej Dechand, Code Intelligence's CEO, demonstrates how developers can submit new code, which is automatically tested and analyzed for security issues. Sergej explains the process of running tests, assessing findings, and integrating with ticketing systems. You'll also see how to measure code coverage and download reports. It includes all the mentioned use cases with simulating hardware and autogenerated fuzz test setup..

CARIAD has been building one unified software platform for all Volkswagen brands to provide them with reliable software and digital best practices. In recent years, CARIAD and the rest of the automotive software sector faced extensive industry regulation and an array of dangerous and costly vulnerabilities. By introducing feedback-based fuzzing, an advanced white-box testing method that uses self-learning AI to uncover deeply hidden bugs and security vulnerabilities, CARIAD was able to find and fix potentially dangerous issues early in the development process.

The manual effort required to set up dynamic testing methods such as feedback-based fuzzing, presents a major barrier to adoption to many dev teams. CI Spark obliterates this barrier by automating the most labor-intensive parts of AI-powered white-box testing, which is identifying relevant entry points (e.g., an API that handles user data) and developing tests that are tailored to their structure.