Fuzz testing catches the bugs static analysis misses - memory corruption, logic bombs, unhandled edge cases that turn into real attack surface. Code Intelligence builds AI-automated tooling to run that process continuously, plugging directly into CI/CD pipelines so vulnerabilities get flagged at the pull request, not after deployment. The threat model is straightforward: software ships with exploitable flaws that traditional testing never touches. The company's approach is to make fuzzing a standard step in the development workflow rather than a specialist exercise reserved for security teams.
Flagship product CI Fuzz integrates with existing development pipelines to run automated fuzz testing against code changes before they merge. The company also maintains Jazzer and Jazzer.js, open-source fuzzing engines for Java and JavaScript respectively, extending coverage across two of the most widely deployed language ecosystems. The engineering domains sit at the intersection of program analysis, security research, and AI-driven test generation.
The customer roster reads like a cross-section of industries where software failure carries serious consequences: Google, Volkswagen, Bosch, Deutsche Telekom, Continental, and CARIAD. Verticals include automotive, medical devices, and general software development - sectors where a single unpatched vulnerability can cascade into safety or liability issues. The company is headquartered in Bonn with a presence in Berlin and operates a fully remote workforce.
