Radar / AI security / GitHub Security Lab Taskflow Agent
GitHub Security Lab Taskflow Agent: autonomous LLM fuzzing for C/C++
Open-source agent that automates the full fuzzing lifecycle - entry-point discovery, harness generation, AFL++ runs with coverage feedback, iterative input improvement, and crash triage.
Why it matters
Splits the work the right way: LLMs make the judgment calls while execution stays in deterministic security tools (AFL++, coverage analysis), chained over MCP. Released Sep 24 by GitHub Security Lab.
What you could build with it
Point the fuzzing agent at any C or C++ dependency to get automated entry-point discovery, harness generation, and coverage-guided crash triage.
Does it hold up?
Promising for C/C++ security teams: fully autonomous harness-writing plus a live dashboard, and the builder is explicit about the real bottleneck (coverage-driven harness iteration); but triage quality is unproven - an agent that files duplicate or unreproducible crash reports just relocates the burden.
Built with GitHub Security Lab Taskflow Agent
- AI-powered fuzzing with the GitHub Security Lab Taskflow Agentgithub.blog · The builder's own walkthrough: continuous fuzzing's real bottleneck is human harness-writing and triage, which the taskflow automates end to end.
- GitHub Security Lab launches AI-powered fuzzing agent for C/C++ projectstechgig.com · Coverage: uses Claude Sonnet 5 by default; advised to run in disposable environments since it executes clang and arbitrary build commands.
- AI-powered fuzzing with the GitHub Security Lab Taskflow Agenthuntaegis.com · Independent walkthrough: point it at a repo slug, watch the AFL++ + coverage-feedback loop produce per-crash vuln reports.
- githubsecuritylab/seclab-taskflows-fuzzinggithub · Official pipeline repo: AFL++ execution, llvm-cov coverage loop, Fuzz-Introspector-style call graphs, live HTML dashboard; pip-installable.
Learn more
First spotted on engineering blog: source.
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