MLSec Application Security Testing Guide (MLASTG)

The MLASTG is an open-source framework for security testing machine learning (ML) and large language model (LLM) systems, designed for enterprise and defense-grade verification. Inspired by OWASP standards and aligned with MITRE ATLAS, NIST AI RMF, and the EU AI Act, it provides three core components: a verification standard (MLASVS) with 168 verifiable controls across seven categories (e.g., data, model, LLM-specific, supply chain), a testing guide with detailed test cases and Python scripts, and a weakness enumeration (MLASWE). It defines two testing levels—L1 (Standard) and L2 (Defense-in-Depth)—for different risk profiles. The project is in active development (v0.1) and includes an executable CLI and a website deployment, welcoming community contributions across test cases, translations, and new coverage areas. 

https://github.com/bb1nfosec/MLASTG

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