AI Risk Management Program Development
Develop a responsible, secure, and compliant artificial intelligence program aligned with the NIST AI Risk Management Framework (AI RMF).
Build AI Innovation on a Foundation of Trust
Healthcare organizations are moving quickly to adopt AI to improve outcomes, reduce administrative burden, and control costs. But AI introduces new operational, security, privacy, and ethical risks that traditional governance programs were not designed to manage.
Clearwater helps healthcare organizations establish an AI Risk Management Program aligned with the NIST AI RMF, enabling leaders to safely adopt AI while managing emerging risks across the organization.
Develop Your AI Risk Management Program
Program Overview
Clearwater helps organizations operationalize the NIST AI Risk Management Framework through a structured program development engagement.
AI Governance
Establish governance structures that define accountability, oversight, and decision-making for AI across the organization.
AI System Inventory
Identify and document AI-enabled technologies, use cases, and data flows across clinical, operational, and administrative environments.
Roles & Responsibilities
Define clear responsibilities for security, privacy, clinical, compliance, and technology stakeholders involved in AI oversight.
Regulatory Alignment
Align governance practices with emerging federal and state AI guidance and industry frameworks.
Enterprise Risk Integration
Integrate AI risk management into existing enterprise risk, cybersecurity, and compliance programs.
Responsible AI Practices
Demonstrate transparent, responsible AI use to regulators, partners, and patients.
Whether you are developing new AI capabilities, deploying AI-enabled technologies, or simply trying to understand your organization’s AI risk exposure, a structured governance foundation is essential.
Framework Alignment
Clearwater’s AI Risk Management Program Development aligns with the four core functions of the NIST AI Risk Management Framework: Govern, Map, Measure, and Manage. These functions guide organizations in establishing oversight, identifying AI systems and their impacts, evaluating risks such as security and bias, and managing those risks throughout the AI lifecycle. This framework-driven approach helps organizations adopt AI while maintaining consistent governance and risk management across the enterprise.
AI Is Reshaping Healthcare Risk
Artificial intelligence is quickly becoming embedded across healthcare operations, clinical tools, and administrative workflows. Many organizations are adopting AI through vendors or internal experimentation without clear governance in place.
AI introduces new risks around privacy, security, bias, and accountability that traditional technology governance programs were not designed to manage.
Program Engagement Approach
Program Outcomes
Organizations completing this engagement leave with a clear foundation for responsible AI governance and risk management.
AI Governance Structure
Defined oversight and decision-making processes to guide responsible AI use across the organization.
Enterprise Risk Integration
AI risk management integrated into enterprise risk, cybersecurity, and compliance programs.
AI System Inventory
Documented inventory of AI-enabled technologies and approved use cases.
Vendor AI Oversight
Processes to evaluate and manage risks introduced by AI-enabled vendors and technologies.
Policies & Procedures
Updated governance policies and operational procedures supporting responsible AI adoption.
Responsible AI Training
Training for leaders and staff on responsible AI use, governance expectations, and risk awareness.
Featured Experts
Clearwater consultants walk alongside your organization to optimize your cybersecurity for a sustainable future.
SME Highlight
Dave Bailey, EMBA, CISSP
Dave Bailey is Vice President of Consulting Solutions & Strategy at Clearwater, where he leads the development and delivery of […]
SME Highlight
Krissy Safi, CISSP-ISSAP, CISM, MBA
Krissy Safi is Senior Vice President of Consulting Services at Clearwater, where she leads the strategic growth and delivery of […]
Start Building Your AI Risk Management Program
Why Clearwater?
We help healthcare organizations adopt AI responsibly and securely.
Artificial intelligence is introducing new categories of risk that extend beyond traditional cybersecurity programs. Healthcare organizations need guidance from a partner that understands both enterprise cyber risk management and the realities of healthcare operations.
Clearwater has spent more than two decades helping healthcare organizations build mature, defensible risk management programs. Our teams work exclusively in healthcare and support organizations ranging from rural hospitals to the nation’s largest health systems.
That experience matters when applying frameworks like the NIST AI Risk Management Framework. AI governance must integrate with existing cybersecurity, privacy, compliance, and enterprise risk programs—not operate in isolation. Clearwater’s approach ensures AI risk management becomes part of a broader, sustainable security strategy.
Featured Resources
Hospitals and Health Systems
Large organizations have unique complexities, many network entry points, and much at stake. We help you protect patients, reduce downtime, ensure compliance, and grow resilience.
Physician Practice Management Groups/Medical Groups
As physician practices consolidate and grow, they face a greater likelihood of a breach and increased impact and risk for the organization. We help you protect equity and care delivery—simplifying complexities and reducing costs.
Medical Device/MedTech
Cybersecurity is critical to patient safety for medical devices, and interactions with ePHI require HIPAA compliance. ClearAdvantage helps you both protect patients and meet compliance requirements.