Building secure and reliable software is an essential and challenging endeavour that requires extensive testing. Due to development teams’ time and resource constraints, testing falls short, and necessary tests are even skipped altogether. Feedback-based fuzzing is the most practical dynamic testing method to find bugs and security vulnerabilities in software. In this talk, I’ll provide an overview of fuzzing and show how we can leverage large language models to generate the test harnesses needed for fuzzing automatically. This enables an automated and scalable testing strategy for modern software.

• How to emphasizes the critical need for secure and reliable software through extensive testing
• how to resolve common issues of time and resource constraints leading to incomplete or skipped tests
• The benefits of introducing feedback-based fuzzing as the most practical dynamic testing method for identifying bugs and vulnerabilities