Platform for automatic fuzzing of os components

Automation of security analysis processes plays an important role in software development, because it allows vulnerabilities to be detected and fixed at an early stage. This article presents the development outcomes of an automated fuzz-testing platform, as well as its integration with a platform for processing and storing the results of various security analysis tools. The developed platform integrates security analysis tools into a single testing system embedded in the continuous integration process. The proposed platform not only simplifies and speeds up the testing and analysis processes, but also increases the accuracy of vulnerability detection through results aggregation and the application of machine learning algorithms for marking and prioritizing detected errors. This approach allows developers to identify and correct vulnerabilities in a timely manner, contributing to the creation of more reliable and secure products.