Modern Fuzzing for Automotive Software

In our webinar “Modern Fuzzing for Automotive Software”, we will show you how leading enterprises integrate an automated fuzz testing tool into their daily CI pipeline to detect system defects and security vulnerabilities before executing penetration testing. 

You will learn how to easily benefit from modern fuzzing as part of your CI/CD workflow. Fuzz tests are run automatically with each new code change and incidents are reported promptly in an easy to understand dashboard. 

Especially we outline and highlight the specialities of automotive software from a fuzzing point of view in terms of protocols (e.g. Ethernet, CAN), operating systems (e.g. AUTOSAR) and fit for purpose security test scenarios (e.g. for ECUs). Smart Fuzzing will achieve high code coverage using feedback loops and avoids dumb fuzzing on the complete intervals / CAN ranges.

In this webinar, you will...

  • Get an overview of modern fuzzing techniques
  • See, how to detect security vulnerabilities with low manual effort in OSS projects relevant for automotive (live)
  • Experience the potential of fuzzing for development processes used in automotive
  • Learn, how to set-up fuzz testing

Register now for the free webinar and get one of the limited seats!

Register for Free


  • Intro
  • Overview: What is feedback-based fuzzing?
  • Live-Demo: How to fuzz Automotive Software
  • Q&A Session


Sergej Dechand is Co-founder and CEO of Code Intelligence. He and his team strive to revolutionize the way the world tests software. He is an expert in usability aspects of IT security. Sergej has 10 years of experience in software development, software testing, IT security, and academic publishing. Before founding Code Intelligence with his colleagues in 2017, he worked as an external IT consultant and as a project manager at Fraunhofer FKIE.


About Code Intelligence

Code Intelligence develops a state-of-the-art application security testing solution that saves developers’ time and effort while drastically improving the security, stability and reliability of the codebase. Due to the earlier finding of bugs and vulnerabilities in the development process, Code Intelligence accelerates the development life cycle of software projects. The main technology is based on feedback-based / instrumented fuzzing techniques as used by Google and Microsoft extensively. The software improves the discovery of bugs and vulnerability due to higher code coverage and continuously executing automated security tests after each code change.

Learn more about Code Intelligence