While unit testing is crucial for improving code quality and reducing later testing time, it consumes at least 15% of developers' time. Developers can utilize automated fuzz tests to allocate more time for developing new features. They replace negative test cases, constituting around 30% of unit tests. In a recent analysis of a Java project using a fuzzing platform, a single fuzz test was equivalent to potentially 309 unit tests, achieving 74% code coverage within just 25 seconds.

In the famous book “Code Complete,” published by Microsoft Press, author Steve McConnel emphasized the importance of writing code for people first and computers second for better code readability. This was in 1993, when cyber attacks were practically non-existent. Fast forward to 2023, we have a greater challenge: writing code for tackling hackers first and users second.  This challenge is compounded by the rise of cybersecurity incidents due to security vulnerabilities in code.

Security testing allows you to evaluate the robustness of applications and systems and identify potential weaknesses that attackers may exploit. DAST and fuzzing are two popular, important, and proven security testing methods.

In the domain of software testing and security analysis, fuzzing has emerged as a powerful technique for uncovering vulnerabilities and enhancing the resilience of software systems. Microsoft and Google have been using fuzzing for ages. They were early adopters of fuzzing technologies to test their own systems. Since launching in 2016, Google's OSS-Fuzz, a free fuzzing platform for critical open-source projects, has helped fix over 8,800 vulnerabilities and 28,000 bugs across 850 projects.