9 projects
rai-audit-core
Shared audit engine, findings, reports, and CLI for the RAI Audit Kit
rai-audit-agents
Agentic AI audits for tool-use, memory, permissions, and prompt injection
rai-audit-kit
Responsible AI (RAI) Audit Kit — evidence-grade audits for responsible, secure, and trustworthy AI systems
rai-audit-llm
LLM and RAG audits including safety, security, hallucination, and citation checks
rai-audit-dl
Deep learning audits for image classification, medical imaging, and scientific AI
rai-audit-ml
Fairness, robustness, and data quality audits for traditional ML models
promptsanitizer
Secrets firewall for AI pipelines — redact credentials, PII, prompt injection, and RCE payloads before they reach LLMs
agentdog
Lightweight evaluation toolkit for AI agents — test tool use, grounding, safety, and efficiency before production
cv-quality
Dataset-centric CV toolkit: label-quality checks, mislabel detection, class-imbalance analysis, and active-learning loop orchestration.
