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.

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.

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

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.

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.

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

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

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

Graphnosis App — your local encrypted second cortex for every AI.

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 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

Reference architecture for trust-first knowledge platforms — the engineering pattern behind Higher Self's commercial builds. Schemas, templates, and architectural decisions for regulated industries. MIT.

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

The integrated strategy: how platform engineering, organizational design, and AI governance fit together — the entry point to a four-document body of work on winning the AI era in regulated industries

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.