AI-Powered Fuzzing for C/C++ Projects on GitHub Security Lab

This title was summarized by AI from the post below.

AI-powered fuzzing is changing how we find vulnerabilities. GitHub Security Lab’s new Fuzzing Taskflow uses an LLM agent to automate the end-to-end fuzzing workflow for C/C++ projects—from identifying entry points and writing harnesses to improving coverage, triaging crashes, and generating vulnerability reports. Built on the GitHub Security Lab Taskflow Agent, it helps security researchers and maintainers spend less time babysitting fuzzers and more time investigating meaningful findings. Read Antonio Morales Maldonado's blog post and explore how autonomous fuzzing works: https://lnkd.in/gfGYpkhh #ApplicationSecurity #Fuzzing #AI #OpenSourceSecurity #Cybersecurity #GitHubSecurityLab

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