regulated-industries

Zero-Trust Cloud Modernization for Federal Agencies: Lessons from On-Prem Cloud Deployments. Vendor-neutral legacy-to-cloud migration framework with IaC modules, runbooks, architecture diagrams, and compliance mapping.

AI/LLM security testing library mapped to OWASP LLM Top 10 2025 and MITRE ATLAS. 191 payloads organized by domain with CI/CD integration for regulated industries.

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.

Self-hosted MQTT broker with policy-controlled access and attributable decision records for industrial and regulated systems.

Multi-agent, policy-driven AI system for processing sensitive enterprise documents with extraction, analysis, verification, deterministic orchestration, and full audit logging. Designed for regulated environments (banking, finance, insurance).

Practical AI governance patterns for regulated industries — risk assessment templates, model lifecycle controls, EU AI Act alignment

Open architecture notes for local, enterprise-controlled AI in FinOps.

Canonical knowledge base for NeuralSeek — the AI development environment for regulated enterprises. Product reference, client stories, guardrails, governance, brand guidelines, and positioning. Optimized for AI agent retrieval.

Graphnosis — local, encrypted, deterministic job memory layer where agents live and lend each other skills.

VERITAS — lightweight, deterministic, policy-bound, auditable execution runtime for AI agents in regulated environments. Part of the Prometheno open-protocol stack (HAVEN · PSDL · VERITAS).

A curated list of AI governance frameworks, tools, regulations, and resources for responsible AI deployment

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.

Practical governance artifacts for AI agents in regulated organizations — lifecycle models, risk scoring, EU AI Act & DORA checklists, and a working evaluator.

Companion repository for KodeKloud webinar: AKS for Regulated Enterprise in the Age of AI

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

Profile README — Payments · AI Governance · 15+ years regulated-industry delivery.

Curated list of AI/LLM tools, papers, and repos for regulated industries -- finance, healthcare, legal.

A starter repository for documenting, reviewing, and releasing regulated AI systems.

A practitioner guide for applying the NIST AI Risk Management Framework with code examples, checklists, and templates

Product briefs for AI/deterministic systems that make consequential decisions on unstructured input in regulated environments — research data, health, finance. Each project states the decision, the constraints, the metric, and the human escalation path.