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.

Audit-first MQTT control plane for regulated industrial 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.

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.

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

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

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

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

Standard Operating Procedures (SOPs) are documented step-by-step instructions for routine operations and processes to ensure consistency, quality, and compliance across an organization. They are essential for regulated industries such as healthcare, pharmaceuticals, finance, food service, aviation, and manufacturing.

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

Declarative form validation library for React with YAML/JSON configs. Ships with BFSI, healthcare & government ID presets (PAN, Aadhaar, IFSC, GST). Audit-ready, i18n-supported, and runtime-customizable. Build compliance-ready forms without reinventing validation logic.

Live multi-agent AI incident simulation for regulated industries — five agents coordinate in real time to produce a complete incident response package

An open security-as-code case study for a capable AI knowledge-work agent, exploring governance patterns for regulated environments.

SenescenceOS / Longevity Damage Governance Architecture — Process governance for longitudinal rejuvenation research. Encodes the seven SENS damage categories as executable governance gates with dual-scale window engine and immutable Flight Recorder audit trail. SPA Inc. specification (Corp. 1781822-0).