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HIPAA
HIPAA governs how protected health information is stored, transmitted, and disclosed. Applying AI to PHI raises questions no template chatbot answers: where the model runs, what it retains, who can see what it surfaces, and what evidence exists afterwards. These articles cover how we build for those constraints.
9 articles · Healthcare & Life Sciences
Cybersecurity Audit Readiness for AI-Driven Workflows
AI workflows are the new audit weak point. Generic chatbots can't answer what auditors actually ask: who accessed this PHI, who triggered this action, where's the evidence. Here is the audit-readiness architecture we engineer for SOC 2, HIPAA, and CMMC.
11 min
Interoperable AI Workflows for Epic and Cerner Systems
Most health systems run more than one EHR. Most "AI for healthcare" tools work in exactly one. Here is the interoperable AI workflow pattern we engineer for organizations bridging Epic, Cerner, and the smaller specialty systems in between.
13 min
The Secure AI Development Lifecycle for Regulated Industries
AI builds break compliance audits when security is treated as a wrapper around the model. Here is the SDLC we run inside HIPAA, CMMC, and SOC 2 environments — controls baked into every phase from data ingestion to inference logging.
12 min
Referral-to-Renewal Automation for Healthcare Providers
A new patient referral comes in by fax at 8pm. The intake call goes out at 11am the next morning. By then, the patient has already booked with your competitor. Here is the end-to-end automation pattern that fixes that — HIPAA-compliant, EHR-integrated, and live in 30 days.
12 min
7 Workflow Automation Security Sins: Is Your Data Leaking?
Your no-code "automations" were built for speed, not security. Here are the seven workflow automation sins quietly exfiltrating your data — and the custom n8n and Python pattern we use to plug every one of them.
10 min
HIPAA-Compliant AI for Healthcare Ops: Beyond Template Bots
Most "AI for doctors" apps are thin wrappers around a public OpenAI prompt. Here is how we build HIPAA-compliant, custom-engineered LLM systems that automate healthcare ops without ever touching a public training set.
11 min
Local LLMs vs. The Cloud: Keeping Your Business Logic Under Bank-Level Encryption
Public cloud LLMs are a black box you do not own. Here is why local LLMs hosted inside your VPC are the only way to combine 2026-grade AI horsepower with bank-level encryption and total data sovereignty.
10 min
Shadow AI Is Quietly Killing Your Security: How to Audit and Reclaim Your Data Privacy
Nearly half of GenAI users access models through personal accounts you cannot monitor. Here is the 3-step Shadow AI audit we run for federal, DIB, healthcare, and financial services teams — and the secure-by-design system that replaces it. SDVOSB Pending.
9 min
The NIST AI RMF Awareness Gap: Why Federal, DIB, Healthcare, and Financial Teams Are Already Behind on Compliance
Across U.S. Federal agencies, the DIB, healthcare, and financial services, AI adoption is moving faster than governance. If you are deploying AI into sensitive workflows without a formal NIST AI RMF, you are already behind. Federal-first — SDVOSB Pending.
10 min
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These articles describe how we build. If you have a live requirement, the Healthcare & Life Sciences page covers what an engagement looks like.
Healthcare & Life Sciences