Live-Demo: CI Fuzz
2nd July 2020 - 10:30 am (CET)
In this live demo one of our fuzzing engineers will show you why technology leaders like Google rely on feedback-based fuzzing and how to use fuzzing efficiently in your development process.
In this live demo one of our fuzzing engineers will show you why technology leaders like Google rely on feedback-based fuzzing and how to use fuzzing efficiently in your development process.
CI Fuzz enables you to easily create and continuously execute security and reliability tests by automating cutting edge security testing technologies that previously required specialized security experts.
Feedback-based fuzzing (or coverage-guided fuzzing) is a modern fuzzing technique used for security and stability testing of the codebase. The software under test is fed with a series of inputs, which are purposefully mutated in the testing process. The testing tool gets feedback about the code covered during the execution of inputs. Unlike traditional or black-box fuzzing, feedback-based fuzzing explores the program state efficiently and discovers bugs hidden deep in the code. In recent years, feedback-based fuzzing has experienced an unmatched success story. For example, over 27,000 bugs have been found in Google Chrome and several open-source projects.
Learn more about the fuzzing testing methodology and how you can apply this state-of-the-art technology in your company
Find out how CI Fuzz helps leading global companies such as Bosch, Deutsche Börse Group and Deutsche Telekom to make their software more secure and reliable
Register now for the live demo and get one of the limited seats!
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.