In this article
5 Proven Ways Healthcare SaaS Secures AI Vendors with Audits
- Shaheer Tariq
The Vendor Risk Question Facing Healthcare SaaS
Healthcare SaaS organizations increasingly rely on external AI and data-processing providers to deliver analytics, automation, workflow acceleration, and platform functionality. But where a third-party vendor processes healthcare-related data or supports systems tied to regulated workflows, vendor oversight becomes a significant governance issue.
That issue is not limited to contractual language. It extends to whether the supplier’s actual control environment aligns with security, privacy, and operational expectations. HHS makes clear that organizations handling protected health information through business associates and cloud arrangements must address how data is created, received, maintained, or transmitted and how safeguards are applied. This expectation aligns with regulatory obligations under frameworks such as HIPAA Security Rule requirements for risk analysis, access control, and audit controls, which extend to business associates and subcontractors.
For many organizations, this is where second-party audits become highly relevant.
A Common Scenario
Consider a U.S. healthcare SaaS company that uses a third-party AI data-processing vendor.
The vendor’s platform is integrated into the customer’s service environment and processes data that is sensitive, regulated, or operationally critical. The healthcare SaaS company may already have contractual terms, internal review procedures, and vendor questionnaires in place. But those mechanisms do not always provide sufficient visibility into the vendor’s implemented controls.
In this scenario, the healthcare SaaS company engages Consilium Labs to perform a second-party security audit of the AI vendor on its behalf.
This structure aligns with the accepted definition of a second-party audit: an audit conducted by a party with an interest in the audited organization, such as a customer, or by another body acting on the customer’s behalf.
Why AI Vendors Require Closer Evaluation
AI vendors often sit at a critical intersection of data, infrastructure, logic, and access. Depending on the service model, they may interact with source data, prompts, outputs, logs, storage layers, APIs, or cloud environments that affect confidentiality and system trust.
That creates several important questions for the client organization:
- What policies govern the vendor’s handling of sensitive data?
- Which cloud services and configurations are in scope?
- How is access managed across personnel, systems, and privileged functions?
- How are vulnerabilities identified, tracked, and addressed?
- What mechanisms protect data in transit, at rest, and within processing workflows?
Additional considerations may include model behavior risks, data leakage through prompts or outputs, third-party model dependencies, and lack of transparency in AI processing pipelines.
These are not abstract questions. They directly affect vendor risk posture, especially in healthcare environments where confidentiality, integrity, and availability expectations are closely scrutinized. HHS and NIST both emphasize the importance of ongoing risk evaluation, access review, and security control effectiveness in environments handling sensitive information.
What Consilium Labs Would Evaluate in This Scenario
Within a formally defined second-party audit scope, Consilium Labs could perform an independent evaluation of the AI vendor across the following areas:
1. Review of Vendor Security Policies
The audit may examine whether the supplier maintains documented security policies relevant to governance, access control, incident handling, data handling, and technical operations. The objective is to determine whether the documented control environment aligns with the criteria defined for the audit.
2. Assessment of Cloud Infrastructure
Where the vendor operates in AWS or Azure, the audit may examine relevant cloud architecture elements, control inheritance boundaries, identity configuration, service usage, and evidence relating to security in the cloud. This matters because cloud environments follow shared responsibility structures, meaning not all control obligations reside with the infrastructure provider.
3. Verification of Access Controls
The audit may assess user provisioning, privileged access, segregation, authentication controls, and review mechanisms tied to systems and data within scope. In environments processing sensitive data, access governance is one of the most critical areas of control evaluation.
4. Review of Vulnerability Management
The audit may evaluate how the vendor identifies, tracks, prioritizes, and records vulnerabilities affecting in-scope systems. Where technical testing is included and authorized, additional evidence may be obtained through structured security testing methods.
5. Evaluation of Data Protection Mechanisms
The assessment may examine how the supplier protects data throughout storage, processing, transmission, and related operational workflows. In healthcare contexts, this is especially important where external providers create, receive, maintain, or transmit protected health information or adjacent sensitive data.
The purpose of this audit is not to redesign the vendor’s control environment. It is to perform an objective evaluation and issue documented findings within the agreed scope. That distinction is required by Consilium Labs’ external messaging and service positioning rules.
What the Healthcare SaaS Company Receives
At the conclusion of the engagement, the client receives a formal assurance output based on the evidence reviewed during the audit.
That may include:
- an independent security assurance report
- an assessment of risk exposure within the supplier environment
- documented findings regarding the criteria under review
- a formal basis for internal vendor governance and decision-making
For the healthcare SaaS company, this output provides a defensible basis for vendor risk decisions, regulatory discussions, and internal assurance reporting, and can be valuable for procurement oversight, legal and contractual review, security governance, and executive-level risk communication. It provides a stronger basis for understanding the supplier relationship than self-attestations alone.
How Consilium Labs Conducts a Second-Party Audit
 second-party audit conducted by Consilium Labs follows a structured and evidence-based methodology aligned with recognized audit practices. This typically includes:
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- Scoping and Planning – defining audit criteria, scope boundaries, and systems in scope
- Evidence Request and Review – collecting policies, configurations, logs, and technical artifacts
- Interviews – engaging with key personnel across security, engineering, and operations
- Control Testing – validating implementation and effectiveness of controls through sampling and technical review
- Reporting – issuing a formal report with findings, observations, and risk implications
Why This Model Is Increasingly Relevant
Second-party audits are becoming more important because many organizations now rely on external providers for functions that materially affect security posture, customer trust, and regulatory exposure. AI vendors are a clear example. They often operate in technically complex environments, and their services may influence data flows that the customer does not directly control. Failure to adequately assess such suppliers may result in inherited risk exposure, including data breaches, regulatory non-compliance, and operational disruption.
In these situations, the customer needs more than a generic vendor questionnaire. It needs an objective view into the supplier’s in-scope controls and evidence.
That is precisely where a second-party audit fits.
Who Should Consider This Type of Audit
This type of engagement may be relevant for:
- healthcare SaaS providers using external AI or analytics vendors
- regulated technology companies relying on cloud-based processors
- enterprise software organizations with material supplier dependencies
- organizations that require direct vendor assurance tied to contractual expectations
- clients that need independent evaluation of a supplier’s control posture
Frequently Asked Questions
Is a second-party audit only for healthcare?
No. It is relevant across many industries. Healthcare is a strong use case because of the sensitivity of the data and the significance of vendor obligations.
Can the scope include AI systems specifically?
Yes. Where AI-related infrastructure, processing, access, and data handling fall within scope, they can be evaluated as part of the audit.
Does this replace certification?
No. A second-party audit is distinct from third-party certification and serves a different assurance purpose.
What is the primary outcome?
The primary outcome is independent assurance based on an evidence-based assessment of the supplier’s in-scope controls.
How is independence maintained in a second-party audit?
Consilium Labs performs independent evaluations and does not implement or operate controls for the audited supplier, ensuring objectivity and credibility of the assessment.
Final Thoughts
Healthcare SaaS companies are under growing pressure to understand the control environments of the vendors they depend on, especially where AI services and sensitive data processing intersect. Second-party audits provide a direct and credible way to evaluate those supplier environments through an independent assessment performed on the customer’s behalf.
For organizations that need objective visibility into a vendor’s cloud controls, access management, vulnerability practices, and data protection mechanisms, a second-party audit offers a formal assurance path grounded in documented evidence.
Consilium Labs conducts independent, evidence-based second-party audits that combine technical validation with structured assurance methodologies, enabling organizations to gain objective visibility into supplier control environments.
References
Amazon Web Services. (n.d.). Penetration testing. AWS.
Amazon Web Services. (n.d.). Shared responsibility model. AWS.
International Organization for Standardization. (2022). Terms and definitions of ISO/TC 176 standards. ISO.
International Organization for Standardization. (n.d.). ISO 19011: Guidelines for auditing management systems. ISO.
National Institute of Standards and Technology. (2022). Cybersecurity supply chain risk management practices for systems and organizations (NIST SP 800-161 Rev. 1). U.S. Department of Commerce.
National Institute of Standards and Technology. (2024). The NIST Cybersecurity Framework (CSF) 2.0. U.S. Department of Commerce.
U.S. Department of Health & Human Services. (2013). Business associate contracts. HHS.
U.S. Department of Health & Human Services. (2022). Guidance on HIPAA and cloud computing. HHS.
U.S. Department of Health & Human Services. (2024). Covered entities and business associates. HHS.
U.S. Department of Health & Human Services. (2024). Summary of the HIPAA Security Rule. HHS.
U.S. Department of Health & Human Services. (2025). Summary of the HIPAA Privacy Rule. HHS.
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