Practical resources for organizations deploying AI without compromising their data. Every guide is built from real deployment experience — not theoretical whitepapers. Use these frameworks to evaluate vendors, architect systems, and pass audits.
Complete architecture walkthrough for deploying LLMs on your infrastructure. Covers GPU selection, model evaluation, RAG pipeline design, vector databases, and security hardening. Includes hardware comparison tables and a step-by-step deployment checklist.
Step-by-step guide for building secure retrieval-augmented generation for healthcare. Covers PHI data flow architecture, clinical document ingestion, embedding model selection, audit logging requirements, and EHR integration patterns without PHI exposure.
Comprehensive checklist covering HIPAA, GLBA, GDPR, SOC 2, CMMC, FERPA, and more. Every regulation broken into actionable items with on-premise deployment advantages. Use this as your starting point for AI governance and audit preparation.
25 questions every CISO should ask before deploying AI. Covers data handling, security posture, compliance certifications, technical capabilities, and business terms. Includes a scoring framework with red flags and green flags for vendor assessment.
Most AI guides are written by cloud vendors trying to sell you their platform. These frameworks come from deployments where your data never left your infrastructure. We write for organizations that have real constraints — not startups experimenting with free API tiers.
Every architecture diagram, checklist item, and evaluation question is drawn from engagements where we deployed on-premise AI for legal firms, hospitals, banks, and government agencies. We don't theorize about compliance — we build systems that pass audits on the first attempt.
We don't get paid by GPU manufacturers, vector database companies, or cloud providers. Our recommendations are based on what works within your security constraints, not what generates referral revenue. When we recommend an open-source model or a specific architecture pattern, it's because it solved a real problem for a real client.
You won't find research paper summaries here. Each guide includes hardware specifications, model comparison tables, deployment checklists, and compliance frameworks you can use immediately. If you can't act on the information within a week of reading it, we haven't done our job.
Explore our full library of resources — from scenario-based examples to regulatory intelligence briefs that keep you ahead of compliance deadlines.
See how organizations deploy AI safely and eliminate operational waste. Scenario-based examples from legal, healthcare, and professional services. Measurable outcomes. Zero data exposure.
View Scenarios →Stay ahead of AI regulations that affect your industry. OCR AI guidance for healthcare, NAIC principles for insurance, NIST AI RMF for government, and more. Updated as regulations evolve.
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