What should be in a healthcare AI vendor security review

Covered entities need contracts, but they also need access controls, audit trails, risk assessments, incident reporting, and clear rules for how vendors use patient data. AI vendors need these components more urgently because a single tool can touch privacy, security, clinical decision-making, consumer protection, and state AI rules at the same time.

A strong vendor strategy should ask simple but demanding questions: What data does the vendor receive? Can the vendor use it to train models? Who can access it? How is the tool monitored? What happens when the relationship ends? The safest organizations will treat AI vendor oversight as part of daily operations, not as a one-time legal review.

Healthcare AI vendor reviews

A healthcare AI vendor security review is a type of vendor risk assessment that looks at an AI supplier's security, privacy, and compliance measures. It goes beyond a normal software review by looking at issues that are specific to AI. The Health Sector Coordinating Council notes that AI vendor evaluation “demands deeper scrutiny into training data provenance … bias mitigation, model transparency and explainability, [and] responsible AI governance.”

A review team will check that patient data is encrypted, that access controls are fine-grained, that vulnerabilities are managed, and that audit logs are kept. HIPAA says that businesses must check the security of any third party that handles electronic protected health information (ePHI). A healthcare AI security review checks that the AI product can be used safely in patient care by combining standard HIPAA vendor due diligence, such as a business associate agreement (BAA), access control, and encryption, with AI-specific checks, such as model governance and data lineage.

Why AI vendors need deeper security checks

A joint advisory draft guidance for the use of AI says, “Because if a participant who requires inpatient monitoring is placed into the outpatient monitoring category, that participant could have a potentially life-threatening adverse reaction in a setting where the participant may not receive proper treatment. Given that model influence is deemed high for this question of interest and decision consequence is also deemed high, risk is high.”

Healthcare organizations need an AI-specific review because AI tools introduce new security and safety issues. Unlike standard software, AI may process PHI in unanticipated ways and can generate unpredictable output. Studies have noted that integrating AI into care brings significant cybersecurity risks, for example, data breaches, algorithmic opacity, or model vulnerability.

A normal questionnaire might miss these; for instance, an AI system might inadvertently memorize or expose PHI during training or exhibit hidden bias. The Health Sector Council warns that without AI-tailored questions, organizations may onboard vendors whose systems later “exhibit performance degradation, bias, or opacity undermining clinical safety.”

Regulatory guidance underscores this need: HIPAA’s Security Rule explicitly requires covered entities to assess third-party risks, and recent enforcement by HHS/OCR has focused on failures in vendor risk analysis. Paubox notes that HIPAA mandates thorough vendor assessments, including all business associates and subcontractors. Separate AI reviews ensure compliance (including BAAs for all AI-related data flows) and confirm that vendors handle patient data under HIPAA/HITECH rules.

Key questions to ask before approving an AI vendor

• Will you sign a business associate agreement?
• Does the AI tool collect, process, store, or transmit protected health information?
• Is customer data used to train or improve the AI model?
• Where is healthcare data stored, and who can access it?
• What security controls protect the data?
• What third parties or subprocessors can access the data?
• How do you test the AI tool for accuracy, bias, and unsafe outputs?
• What human review is required before staff rely on the AI output?
• What happens if the AI produces a wrong, harmful, or misleading result?
• How quickly will you notify us of a security incident or data breach?

Security certifications every AI vendor should provide

A well-prepared vendor will have independent compliance attestations. Common proofs include SOC 2 Type II reports, HITRUST CSF certification, and ISO 27001 certificates. For healthcare AI vendors, HITRUST (which incorporates HIPAA/NIST controls) is often preferred. For instance, Paubox notes that it achieved HITRUST CSF certification in 2019 and has successfully renewed it every year. The badge signifies a rigorous external audit of their security program. Vendors may also publish summaries of penetration tests or external audit findings.

During review, ask to see these reports or at least executive summaries. If the AI is a medical device or clinical software, FDA clearance or pre-market approvals may apply, so request that documentation. Vendors may have self-attestation or compliance letters from legal (e.g. HIPAA/HITECH compliance attestations). The key is to verify these credentials. As the HSCC guide advises, confirm the vendor “provides certifications or audit reports (SOC 2 Type II, HITRUST CSF, ISO 27001)” and ensure they align with healthcare security norms.

What happens when healthcare AI gets it wrong

When healthcare AI gets it wrong, the mistake can move quickly from a technical issue to a patient safety, privacy, and compliance problem. A 2025 National Academies Press (US) review of generative AI in health warns that major risks include data privacy and security, bias, output limitations, brittleness, and hallucinations. It makes vendor review and human validation essential, especially as healthcare organizations adopt AI in operational workflows like email security, documentation, triage, and patient communication.

Paubox’s generative AI powered Inbound Email Security shows one safer use case: it analyzes tone, sender behavior, message intent, and context to detect nuanced phishing and impersonation threats, while giving admins evidence-based detection rationale. The need is real. Paubox’s 2025 Healthcare Email Security Report found that 60% of healthcare organizations experienced email-related security incidents in 2024, and only 5% of phishing attacks were reported by employees.

FAQs

Is there one federal AI vendor law healthcare organizations must follow?

No single rule covers every AI vendor relationship in healthcare. Current oversight comes from several sources.

When does an AI vendor become a HIPAA business associate?

An AI vendor can become a HIPAA business associate when it performs a service for a covered entity and needs access to protected health information to provide that service.

Does a BAA make an AI vendor compliant?

No. A business associate agreement creates legal duties, but it does not prove that an AI vendor has strong security, accurate outputs, fair models, or safe workflows.