RAI Audit Kit
VerifiedPython package suite for evidence-grade audits of responsible, secure, and trustworthy AI systems. Covers ML, deep learning, LLMs, RAG, and AI agents.
Frameworks Covered
NIST-AI-RMFISO-42001
Services
bias-auditllm-safety-auditrag-security-auditagent-auditci-gates
About RAI Audit Kit
RAI Audit Kit is a Python package suite for generating evidence-grade audits of responsible, secure, and trustworthy AI systems. It brings fairness, robustness, RAG, and agent security checks into one evidence and reporting workflow.
Packages
- rai-audit-core — Audit engine, findings, reports, history, CI gates
- rai-audit-ml — Tabular ML: fairness, drift, data quality, robustness
- rai-audit-dl — Image, medical imaging, and scientific AI audits
- rai-audit-llm — LLM and RAG safety, faithfulness, citation, security audits
- rai-audit-agents — Agent tool-use, memory, permission, injection audits
- rai-audit-kit — Meta-package (core + ML, unified CLI)
Installation
pip install rai-audit-kit
pip install "rai-audit-kit[all]"
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