AI Governance
You Can’t Govern What You Can’t See
AI is increasingly embedded across healthcare vendors, products, and workflows — often without clear disclosure or consistent governance.
Through structured workflows, Censinet helps healthcare organizations identify hidden AI exposure, evaluate operational and clinical impact, and operationalize AI governance across their vendor and product portfolios.

AI Visibility Across Your Vendor Portfolio

Evaluate AI Beyond Security Controls
Censinet enables healthcare organizations to launch structured AI evaluations across ethical, clinical, operational, and regulatory domains — including bias, transparency, model safety, and workflow integration.
Aligned to the NIST AI Risk Management Framework, evaluations provide defensible documentation, governance oversight, and structured remediation.
Cross-Functional Oversight by Design
- Clinical leadership
- Ethics and equity teams
- Information security
- Privacy and compliance
- Legal and regulatory
- Risk management and audit



Integrated Into Unified Risk Oversight
Governance becomes embedded within enterprise risk oversight instead of operating as a disconnected initiative.
Frequently Asked Questions
How does Censinet identify AI embedded in third-party products?
Censinet determines whether each product in your inventory includes AI capabilities, drawing first on information already in the platform, such as vendor assessment responses and intake questionnaires, and supplementing with public sources when that information is unavailable or out of date. Each product shows its AI status along with the reasoning behind it, and because this continues after the initial assessment, products that add AI later surface as a change rather than a surprise. You can filter your inventory by AI status and risk level, and start an AI-specific assessment directly from a product.
What does an AI risk assessment in Censinet cover?
Censinet's Artificial Intelligence assessment is purpose-built for AI governance teams and goes beyond technical security controls. Depending on the product and use case, it addresses ethical, clinical, operational, privacy, and regulatory considerations, including bias, transparency, model safety, human oversight, and workflow integration. It runs independently of a cybersecurity assessment, so AI governance is not waiting on another team's timeline.
How does Censinet help prioritize AI products for assessment?
Every product in your inventory receives a risk score before any assessment work begins, calculated from what Censinet knows about the product rather than from a completed questionnaire. Combined with its AI status, that gives teams a way to sort AI-enabled products by likely exposure. An AI system informing clinical decisions can get attention before a tool used for internal administrative work.
How does Censinet support review across our AI governance committee?
AI review needs input from people outside the risk team: clinical leadership, ethics, privacy, compliance, legal, and security among them. Without a shared process, that usually means an email thread nobody owns. Censinet routes each part of an assessment to the reviewers responsible for that area, based on rules your organization sets up once, and gives them only the questions relevant to their expertise. The risk assessor tracks where every review stands, so a stalled review is visible rather than assumed.
Does Censinet support the NIST AI Risk Management Framework?
Yes. Censinet's AI assessment content aligns with the NIST AI Risk Management Framework and its four functions: Govern, Map, Measure, and Manage. Results show where your organization's coverage stands across those functions, and organizations that participate in the annual Healthcare Cybersecurity Benchmarking Study can compare their coverage with peers.