Regulated Industries Python Packages

enterprise-rag-patterns

FERPA/HIPAA/GDPR-compliant RAG patterns: identity-scoped retrieval, audit logging, and framework adapters for regulated enterprise AI

moralstack

MoralStack is a governance and safety layer for LLM applications. It analyzes user requests before generation, evaluates risk and intent, and decides whether the AI should answer normally, answer safely, or refuse. The goal is to make AI systems more auditable, controllable, and reliable in sensitive or regulated contexts.

makerchecker

Roles, segregation of duties, and tamper-evident audit for the AI agents you already run. Open-source, self-hosted.

voice-ai-governance

Compliance enforcement middleware for voice AI pipelines: warm transfer state management, PII scrubbing, confidence-gated escalation, and HIPAA/FERPA/EU AI Act enforcement for Pipecat, LiveKit, and Twilio deployments.

confidence-escalation

Framework-agnostic confidence-gated escalation middleware for LLM agents: multi-signal scoring (logprob, verbalized, tool risk), threshold policies, and escalation handlers for LangChain, CrewAI, AutoGen, and Google ADK.