What problem does it solve?
Most organizations treat fuzzing as an optional QA activity rather than a mandatory security control, leaving parser, IPC, kernel, and LLM attack surfaces exposed to uncaught vulnerabilities. Major global compliance frameworks (NIST, PCI, ISO, EU AI Act) do not mandate continuous fuzzing as a normative requirement, allowing organizations to claim conformance while shipping un-fuzzed, vulnerable code.
Core Features & Use Cases
- Compliance Gap Analysis: Explicitly maps fuzz coverage gaps against 10+ major security and compliance frameworks to surface where self-attestations of secure development are invalid.
- End-to-End Fuzz Program Deployment: Step-by-step procedures to stand up continuous fuzzing for native code parsers, APIs, kernel modules, and LLM endpoints using industry-standard tools like AFL++, libFuzzer, syzkaller, OSS-Fuzz, and garak.
- Compliance Evidence Generation: Produces standardized Fuzz Posture Assessment artifacts with harness inventory, coverage metrics, crash triage data, and framework mapping for auditors.
- Compliance Theater Checks: Includes targeted audit questions to distinguish between paper fuzz programs and operational, CI-gated fuzz controls.
Use Case: A security team at a company shipping C/C++ network parsers and an LLM-fronted customer support API can use this skill to inventory all fuzz-eligible interfaces, deploy CI-gated fuzz jobs for each surface, and generate compliance evidence that satisfies NIST 800-218 and EU AI Act robustness requirements.
Quick Start
Use the fuzz-testing-strategy skill to inventory all fuzz-eligible interfaces in your current codebase, stand up continuous fuzz jobs for each surface, and generate a Fuzz Posture Assessment artifact for your next compliance audit.
