AI SECURITY FOR HEALTHCARE
AI Security Assessment for Healthcare
Protect patient data and clinical workflows as AI transforms healthcare delivery.
AI Is Reshaping Healthcare — But Who Is Securing It?
Clinicians paste patient notes into AI tools for faster documentation. Diagnostic algorithms influence treatment decisions with minimal oversight. Telehealth platforms integrate AI chatbots that handle sensitive intake data. In each case, protected health information (PHI) flows into systems that most security teams have never evaluated — creating compliance gaps that traditional assessments miss entirely.
Shadow AI is already the norm in healthcare. Staff adopt consumer AI tools for scheduling, summarization, and even preliminary diagnosis without IT approval. The IBM 2025 Cost of a Data Breach Report found that one in five organizations experienced breaches linked to shadow AI, costing $670,000 more per incident than standard breaches. In a sector where the average breach already costs $7.42 million, that exposure is untenable.
The Health Sector Coordinating Council (HSCC) recognized this urgency by establishing an AI Cybersecurity Task Force in October 2024, with guidance publications rolling out through Q1 2026 covering governance, secure-by-design principles, and third-party AI supply chain transparency. Organizations that wait for final mandates to act will find themselves remediating rather than preventing.
Regulatory & Compliance Landscape
HIPAA
The Health Insurance Portability and Accountability Act sets baseline safeguards for PHI — but its rules predate AI. Assessments must evaluate how AI tools handle, store, and transmit protected health information beyond what traditional HIPAA audits cover.
NIST AI RMF
The NIST AI Risk Management Framework provides a structured approach to identifying, measuring, and mitigating risks specific to AI systems — from data bias in clinical algorithms to transparency in automated decision-making.
HSCC AI Cybersecurity Guidelines
The Health Sector Coordinating Council's 2026 AI cybersecurity guidance addresses governance maturity, secure-by-design principles, incident response playbooks, and third-party AI supply chain transparency tailored to healthcare organizations.
HITRUST CSF
HITRUST integrates HIPAA, NIST, and ISO requirements into a certifiable framework. Its AI-related control objectives help healthcare organizations demonstrate due diligence to regulators and business associates.
What We Assess in Healthcare
PHI Exposure in AI Tools
Identify where protected health information enters AI systems — from clinical documentation assistants to AI-powered search — and evaluate data handling, retention, and access controls.
Clinical Workflow AI
Assess AI tools embedded in clinical workflows for documentation, triage, and care coordination, including validation processes and clinician override safeguards.
Medical Device AI Vendors
Evaluate third-party AI components in connected medical devices and diagnostic equipment, covering supply chain transparency, update mechanisms, and vulnerability disclosure.
AI-Driven Diagnostics Oversight
Review governance over AI systems that inform diagnostic or treatment decisions, including bias testing, explainability requirements, and human-in-the-loop controls.
Telehealth AI Security
Assess AI integrations in telehealth platforms — chatbots, symptom checkers, and intake automation — for data encryption, consent management, and PHI boundary controls.
AI Training Data Governance
Evaluate how AI models used in your environment were trained, whether patient data contributed to training sets, and what de-identification and consent controls are in place.
From Scoping Call to Secure AI Adoption
Scoping Call
We discuss your organization, AI usage, compliance obligations, and assessment goals. You receive a scoping questionnaire to complete before we begin. 30 minutes, no cost.
Discovery & Assessment
The assessment covers AI asset discovery, data flow analysis, security control evaluation, and compliance gap analysis using a proprietary methodology across 10 control domains.
Analysis & Reporting
Findings are risk-scored, prioritized, and documented in a comprehensive report package including executive summary, technical report, asset inventory, compliance matrix, and remediation roadmap.
Delivery & Remediation
We present findings to your leadership and technical teams, walk through the prioritized remediation roadmap, and provide a structured 30-day follow-up window for questions on the deliverables.
Assessment Scope Levels
The same methodology enterprise firms pay 10x for — at a price point built for mid-market budgets. Know exactly what you'll pay, what you'll get, and when it's done.
Focused
$7,500
4–6 weeks
Organizations (50–200 employees) beginning their AI governance journey
- Up to 10 AI tools assessed
- High-level data flow mapping
- 1 compliance framework (NIST AI RMF, CIS, ISO, etc.)
- Executive summary report
- AI asset inventory with risk classifications
- Compliance gap matrix
- Prioritized remediation roadmap
- Risk register
Scope confirmed during your free call
Comprehensive
$15,000
8–10 weeks
Mid-market organizations (200–500 employees) with active AI adoption
- Up to 50 AI tools assessed
- Detailed data flow mapping
- Up to 3 compliance frameworks
- AI control evaluation across 10 security domains
- Executive + technical reports
- AI asset inventory with risk classifications
- Compliance gap matrix
- Prioritized remediation roadmap
- Risk register
- 30-day follow-up advisory window
Scope confirmed during your free call
Every engagement starts with a free 30-minute scoping call to confirm the right tier for your organization. Flexible scheduling available to minimize disruption to your team.
Let's Assess Your Healthcare AI Security Posture
Every engagement starts with a free 30-minute scoping call.