Independent AI Risk Assessment · Healthcare
Know exactly where your AI tools send patient data — and prove it holds up to HIPAA.
Ayliea is an independent, expert-led AI security assessment. A named assessor maps your AI surface, scores it against HIPAA and NIST, signs the report — and stands behind it when an auditor, cyber-insurer, or hospital partner asks for proof. Not a self-service license: an accountable human who can answer for the finding.
Read the open standard behind the score (AISS) →
Risk Assessment
Lumen Health Systems
Illustrative example — not a real client
HIPAA · NIST AI RMF · AISS v1.3.0

THE ENGAGEMENT
An independent HIPAA AI risk assessment — signed and stood behind
We don't hand you a tool and wish you luck. A named assessor evaluates how your AI handles patient data, scores it against HIPAA and NIST, and signs a report you can put in front of an auditor, insurer, or hospital partner — then keeps it current.
HIPAA AI Risk Assessment (fixed scope)
We map every place AI touches patient data — sanctioned tools, shadow AI, and the AI features buried in your existing SaaS — and assess them against the HIPAA Security Rule and NIST AI RMF. Fixed scope, fixed price, a clear start and end.
A signed, defensible report
You get a scored, evidence-backed report a named assessor signs and stands behind — the AI inventory, where data flows, the gaps, and a prioritized remediation plan. The kind of artifact an auditor, cyber-insurer, or hospital partner accepts as proof.
Refresh & Vendor Watch (recurring)
AI surfaces change weekly. Optional recurring refreshes re-prove your posture as tools, vendors, and standards shift — and Vendor Watch flags when an AI provider you depend on changes its terms or controls. Your evidence stays current, not stale.
Fixed-scope engagements — from a focused assessment for a small team and one framework, to a comprehensive review across your AI tooling and multiple frameworks with technical reporting and follow-up advisory.
WHO IT'S FOR
Healthcare, both sides of the transaction
The organizations adopting AI and the vendors who have to prove their AI is safe to sell into hospitals. We assess both — and other regulated industries on request.
Covered entities adopting AI
Clinics, practices, and provider groups bringing AI into clinical and administrative workflows. Your HIPAA risk analysis now has to cover where those tools send patient data — we assess it and document it.
Business associates & health-tech vendors
If you sell software or services into hospitals, you have to prove your AI safeguards before procurement clears you. A signed, independent assessment is the artifact that moves the deal forward.
Hospital security & vendor-risk teams
You're vetting the AI your vendors ship and the AI your staff quietly adopt. We map that surface and score it against the same standards your auditors and partners use — so third-party AI risk is documented, not assumed.
Compliance & risk leads
Cyber-insurance AI riders and customer security reviews are asking for an AI inventory and documented controls. We produce the inventory, the evidence, and a report you can hand over without a caveat.
Why an independent assessor beats a self-service tool
A named human signs it — and stands behind it
When an auditor, cyber-insurer, or hospital partner asks “is your AI safe with patient data?”, a SaaS license can’t answer for that. An accountable assessor can — and puts their name on it. The moat a tool structurally can’t have.
Reproducible, not a black box
Every score is computed against the open AISS standard we publish — your auditor can recompute it from the spec. Judgment you can trust because you can check the math, not a number you take on faith.
Healthcare-deep, not horizontal
HIPAA Security Rule risk analysis, BAAs, the HSCC vendor-vetting guide, cyber-insurance AI riders — we assess against the requirements that actually gate healthcare AI, not a generic checklist.
WHAT YOU RECEIVE
Your deliverable package
Not a dashboard or an auto-generated score — a package of signed documents your auditors, insurers, and hospital partners accept as proof. Here's what's in it.
- 1Executive Summary Report
C-Suite and board-ready overview of findings and risk posture.
- 2Technical Assessment Report
Detailed findings with evidence, analysis, and remediation steps.
- 3AI Asset Inventory
Complete catalog of discovered AI tools with classifications and risk scores.
- 4Compliance Gap Matrix
Regulation-by-regulation gap analysis with severity ratings.
- 5Remediation Roadmap
Phased action plan with priorities, timelines, effort estimates, and ownership.
- 6Risk Register
Trackable finding list with scoring, status, and acceptance/remediation decisions.
- ✓Assessor sign-off
Signed and dated by your named assessor — the part a self-service tool can't give you.
Every finding crosswalks to the controls that actually gate healthcare AI.
THE ENGINE
Why the assessment is fast — and stays defensible
Behind every Ayliea assessment is AISS, the open standard we publish. It's the delivery edge: the methodology, the math, and the framework crosswalks are public, so a signed assessment gets done quickly and your auditor can recompute the score instead of trusting a black box. The standard is the engine — the assessor is who stands behind the result.
Reproducible scoring
Every category score is fully derivable from the answers you provide and the published spec. Anyone with the standard and your answers can recompute the score — no proprietary algorithm, no vendor magic.
Auditor-verifiable
Hand auditors the published JSON spec at github.com/Ayliea/aiss. They verify the framework crosswalks, scoring rubric, and sub-control citations against their own reference frameworks. Saves you cycles in the audit room.
Fork it, propose changes
AISS is licensed under CC-BY-4.0. You can fork the standard, adapt it to your environment, or propose changes through the public RFC process. The standard belongs to the practitioner community.
- AC-1 Governance
- 71
- AC-2 Asset Mgmt
- 88
- AC-3 Data Protect
- 88
- AC-10 Model Security
- 81
Every score is fully derivable from your answers and the published spec — give an auditor the spec and your answers and they recompute the same number. No black box.
Glass-Box scoring · CC-BY-4.0 · github.com/Ayliea/aiss
Stay current between reviews
Your posture doesn't stand still. Neither do we.
An optional Refresh + Vendor-Watch retainer re-proves your posture and flags new AI tools before your next audit cycle.
The delivery edge
The platform behind every engagement
Your assessment runs on the Ayliea platform — it's how we work fast and keep findings reproducible, and it's where your posture stays current and re-provable between reviews. The delivery edge, not a product you have to manage.
FAQ
Common Questions
AISS (Ayliea AI Security Standard) is the open methodology behind every assessment on the platform — 10 control domains, 59 sub-controls, 9 framework crosswalks, published under CC-BY-4.0 at github.com/Ayliea/aiss. Most compliance scoring is opaque because opacity is where vendor pricing leverage lives. We took the opposite position: practitioners, auditors, and forks have full access to the methodology. Your auditor can reproduce any score using only the published spec and the answers your team provides.
Vanta, Drata, and Sprinto are compliance-automation platforms — software you operate, with proprietary scoring an auditor can't independently verify. Ayliea is an independent, expert-led assessment: a named assessor maps your AI surface, scores it against HIPAA and NIST using the open AISS standard, signs the report, and stands behind it when an auditor, insurer, or hospital partner asks. A SaaS license can't put its name on that. We're happy to run alongside whatever GRC tool you already use.
Because AI risk is fundamentally a security problem, not a paperwork problem. The questions that decide whether your AI is safe with patient data — where your tools send it, who can access them, what they retain, and whether your vendor agreements actually cover AI — are security and assessment questions. We bring rigorous security assessment expertise and score your AI surface against the HIPAA Security Rule and NIST AI RMF using AISS, an open standard you and your auditor can verify line by line. We don't replace your healthcare counsel or your compliance team — we're the independent, accountable security assessment that makes your AI posture defensible, signed by a named assessor who answers for it.
We map every place AI touches patient data — sanctioned tools, shadow AI, and the AI features embedded in your existing SaaS — and assess them against the HIPAA Security Rule and NIST AI RMF. You walk away with an AI inventory and data-flow map, findings scored by HIPAA control with severities, and a prioritized remediation roadmap. Fixed scope, fixed price, a clear start and end.
A signed assessment report your auditors, cyber-insurers, and hospital partners accept as proof — an executive summary, the AI tool inventory, findings by HIPAA control, a prioritized remediation roadmap, and a dated assessor sign-off. Not a dashboard score: a defensible document a named human stands behind.
It starts with a 30-minute scoping call to map the engagement to your AI surface and the requirements that gate you. From there it's a fixed-scope assessment — the timeline depends on the size of your AI footprint, which we'll estimate on the call. Optional recurring refreshes keep the report current as your tools, vendors, and standards change.
Book a 30-minute scoping call — we'll map an engagement to your AI surface and the requirements that gate you, and tell you exactly what it costs. No obligation. If you'd rather look first, the AISS standard is open on GitHub.
Yes. AISS is CC-BY-4.0 — attribution required, but commercial use, modification, and redistribution are all permitted. You can run the standard against your AI surface using nothing but the published spec, fork it, or use it as the methodology in an audit you're delivering to a client. The standard stays free forever; the engagement is for organizations that want an accountable assessor to do it and sign it.
Yes. We assess what you share for the engagement and nothing more — we don't sell data, we don't train models on it, and we never will. Data is encrypted in transit and at rest. The Trust Center at /trust details our security posture and policies.
Not Ready to Talk Yet?
Start with a free resource — no sales call, no obligation.
Sample Executive Summary
See the format and depth of our assessment deliverables before booking a call.
Download sample report→Assessment Methodology
How we run each engagement — discovery, scoring against HIPAA and NIST AI RMF, evidence collection, and reporting.
Read the methodology→Free AI Readiness Quiz
Evaluate your AI security posture across 4 domains. 14 questions, instant results, no account required.
Take the quiz→