How self-learning AI has helped CARIAD build an automotive software powerhouse.
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About the webinar
CARIAD has been building a unified software platform for all Volkswagen brands, providing them with reliable software and digital best practices.
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.
Watch the webinar to learn how Code Intelligence’s testing platform enabled CARIAD engineers to accurately weed out severe issues early in the development process while enabling them to comply with industry regulations such as ISO/SAE 21434.
Key topics and takeaways
- Implementing continuous fuzz testing in CI/CD
- What to look out for when choosing a fuzz testing solution
- How fuzz testing enabled CARIAD to maximize code coverage
- How to test automotive software without false-positives
Working on automotive software?
Ensure it is free from memory corruption bugs and meets industry standards like ISO 21434 and ASPICE for cybersecurity.