discovered 03 Aug 2026
LLM-Security-Assessment-Framework
→ View on GitHubFORGEDAN is a report-first LLM security assessment framework designed to generate reproducible security assessment report packages for large language models (LLMs). Its primary use case centers on providing high-quality, evidence-rich reports that include YAML suites, deterministic scanners, and audit-ready bundles, ensuring traceability and verifiability of input and output artifacts. Notable features include the integration of an evolutionary jailbreaking algorithm, a web dashboard, and a comprehensive QA receipt system, all contributing to enhanced report integrity and usability.