Built for Health Systems and Hospitals

HIPAA-Compliant Private AI, Deployed Inside Your Network

Your clinicians are already using AI with patient data. Regulators are already writing the rules that govern it. Cognetryx gives you a governed alternative that runs entirely inside your health system, so PHI never leaves and OCR readiness is built in.

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71%

Healthcare workers using personal AI accounts for work

Netskope, 2025

81%

Healthcare data policy violations involving regulated data

Netskope, 2025

$10.9M

Average cost of a healthcare data breach

IBM, 2025

The Problem

Why Cloud AI Cannot Clear the Compliance Wall in Healthcare

Cloud AI requires a stack of BAAs, vendor security reviews, data residency agreements, and governance layers that most health systems cannot practically assemble. The compliance team is not being obstructionist. They are doing exactly what HIPAA requires.

BAA Wall

Cloud AI Needs Signed Business Associate Agreements

Any vendor that creates, receives, maintains, or transmits PHI requires a BAA. Public AI services rarely offer BAAs with adequate data residency, retention, and training-data terms. Most cloud AI initiatives stall here.

Shadow AI

Your Staff Is Already Using AI With Patient Data

Clinicians paste discharge summaries into ChatGPT. Billing specialists draft appeals in consumer tools. Banning AI pushes behavior underground. It does not resolve the underlying documentation burden driving it.

OCR Exposure

Unsanctioned AI Creates Untracked PHI Flows

The proposed HIPAA Security Rule update requires a full technology asset inventory including AI tools, with network maps showing how ePHI moves. Shadow AI exists entirely outside this documentation.

Most health systems have concluded they cannot adopt AI safely. The accurate conclusion is narrower: they cannot adopt cloud-based AI safely. When AI runs inside the institution's own network, most of those requirements dissolve at the architectural level.

The Answer

An Architecture Built for OCR Readiness From Day One

Cognetryx deploys entirely inside your health system's network. No PHI leaves the environment. Every interaction is logged. Every output is traceable to source material. The compliance story is built into the architecture, not layered on top.

🔒

PHI Never Leaves Your Network

No third-party processing. No BAA dependency. The AI is internal infrastructure, governed by your existing access controls and HIPAA Security Rule safeguards.

📋

Immutable Audit Logging

User identity, timestamp, source documents referenced, and output generated are logged for every query. Audit trail owned by your institution and available on demand.

🔑

Access Follows Existing IAM

The AI inherits the same role-based permissions that govern human access to patient data. No parallel access control system to procure, integrate, or maintain.

📚

Grounded in Your Institutional Knowledge

Clinical protocols, formularies, compliance policies, and care pathways are indexed. Responses cite approved source material, not external training data.

🏛️

You Own the Deployment

The infrastructure, the data, and any fine-tuned model weights belong to your organization. No vendor dependency, no licensing surprises, no deprecation risk.

⚡

Faster Than the Unsanctioned Tool

Shadow AI thrives when governed tools are worse. Cognetryx beats ChatGPT on institution-specific queries because it actually knows your documentation, not just the internet.

Compliance Mapping

How the Architecture Addresses What Regulators Ask

Federal and state pressures are converging in 2026 and 2027. Here is how Cognetryx directly addresses each framework without bolt-on governance layers.

Framework

The Requirement

How Cognetryx Addresses It

HIPAA Privacy & Security Rule

Safeguards for protected health information including administrative, physical, and technical controls.

PHI stays inside your network. Existing Security Rule safeguards apply. No new BAA relationships to govern.

Proposed HIPAA Security Rule Update

Technology asset inventory including AI tools, network maps of ePHI flows, annual compliance audits.

Inventoried as internal infrastructure. ePHI never leaves the network boundary. Annual audit artifacts generated natively.

HITECH Act

Breach notification obligations, enhanced enforcement, audit trail requirements.

Comprehensive audit logging owned by your organization. No third-party processors to coordinate breach response with.

Colorado AI Act (effective June 2026)

Governance and disclosure requirements on high-risk AI systems affecting consequential decisions.

Traceable reasoning paths and human-in-the-loop controls support disclosure and governance obligations.

Texas AI Disclosure Requirements

Plain-language disclosure of AI involvement in high-risk healthcare scenarios.

Every output carries source attribution. Disclosure messaging configurable at the workflow level.

State Medical Board Rules (CA, others)

AI systems must not imply they hold a healthcare license or practice medicine.

Output framing controlled by the institution. System behavior bounded by governance your team configures.

Built For Healthcare Leadership

A Partner Your Compliance Team Will Actually Approve

Cognetryx is led by a CISSP-certified founder with nearly 20 years of experience architecting secure technology for regulated industries. We understand what OCR asks for because we have built systems designed to answer those questions before they are asked.

Our engagement model is white-glove by default: executive and board presentations, staff training, compliance team walkthroughs, and 30 days of on-site support at go-live.

CISSP HIPAA / HITECH NIST AI RMF Regulated IT Architecture 20 Years Experience

Keith Kennedy

Founder & CEO, CISSP

"The compliance wall blocking healthcare AI adoption is real. It is also architectural. Change the architecture, and most of it dissolves. That is the whole pitch."

Keith has advised mid-market and enterprise organizations on HIPAA, SEC/FINRA, and GDPR compliance, ERP migrations, and secure infrastructure builds. He leads the technical and security posture of every Cognetryx deployment.

Common Questions

What CMIOs and Compliance Leaders Ask

Is Cognetryx HIPAA compliant? +

Cognetryx deploys entirely inside your health system's network. Because protected health information never leaves your environment, no third party creates, receives, maintains, or transmits PHI on your behalf. The system occupies the same regulatory position as your EHR and is governed by your existing HIPAA Security Rule safeguards, access controls, and audit frameworks.

Do we need a Business Associate Agreement (BAA) with Cognetryx? +

Because Cognetryx runs inside your network as internal infrastructure, we are not a HIPAA business associate for the AI processing itself. No PHI flows to Cognetryx servers. BAA obligations that exist with cloud AI vendors are eliminated by the deployment architecture. A service agreement covers our professional services and support.

How does Cognetryx handle shadow AI already happening in our hospital? +

Shadow AI is a symptom of documentation burden, not a staff discipline problem. When clinicians and administrators have a governed alternative that is genuinely faster and more accurate than ChatGPT for their real workflows, shadow AI usage falls dramatically. Cognetryx grounds AI responses in your institutional documentation, clinical protocols, and policies, making the sanctioned tool the better one.

What happens during an OCR audit or examiner review? +

Every AI interaction is logged with user identity, timestamp, source documents referenced, and output generated. This audit trail is owned by your organization and available on demand. Because PHI never left your network, the examiner's hardest question has the simplest possible answer: the data never left. Your compliance team receives a traceable reasoning path for every consequential output.

How long does deployment take? +

Most health system deployments reach pilot stage in 6 to 10 weeks, with full production rollout in 90 days. Cognetryx includes white-glove onboarding, staff training, board presentations, and 30 days of on-site support. Timeline depends on infrastructure readiness and the scope of institutional documentation to be integrated.

What clinical and administrative use cases does Cognetryx support? +

Clinical documentation support, policy and protocol lookup, discharge planning assistance, coding and billing workflows, claim denial response, compliance research, board and regulatory reporting, staff onboarding, and clinical informatics Q&A. The system is grounded in your institutional knowledge, so use cases expand naturally as more documentation is indexed.