AI-powered fuzzing with the GitHub Security Lab Taskflow Agent

What changed

If you’re new to fuzzing and want to learn the fundamentals first, check out our Fuzzing 101 course at gh.io/fuzzing101. Continuous fuzzing is not a magic solution that solves all your problems . Even projects that have been enrolled in OSS-Fuzz for years can still hide critical bugs, and the reason is almost always the same: someone needs to keep an eye on coverage, write new harnesses for the code that nobody is reaching, and triage the crashes that come out the other end.

Why it matters

A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.

How it compares

Related prior coverage to compare against:

• Using the GitHub Copilot SDK for Java
• The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials
• Introducing CodeMender: an AI agent for code security

• Using the GitHub Copilot SDK for Java similarity 0.23
• The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials similarity 0.16
• Introducing CodeMender: an AI agent for code security similarity 0.15