Healthcare organizations deploying ambient clinical AI systems face unprecedented security challenges. Our comprehensive AI Security Risk Assessment provides a thorough evaluation of your AI infrastructure using the NIST AI Risk Management Framework, identifying vulnerabilities before they can be exploited by malicious actors.
Why AI Security Assessment Matters
Ambient clinical AI systems process sensitive patient data in real-time, making them attractive targets for cybercriminals. Unlike traditional software, AI systems introduce unique security risks including data poisoning, model theft, adversarial attacks, and privacy breaches. A single vulnerability can compromise patient safety, violate HIPAA regulations, and expose your organization to significant financial and reputational damage.
Our Comprehensive Approach
Our 23-point security assessment methodology examines every layer of your AI ecosystem:
Data Security & Privacy
We evaluate how your AI systems collect, process, and store patient data. This includes assessing data encryption methods, access controls, data retention policies, and compliance with HIPAA Privacy and Security Rules. We identify potential data leakage points and recommend privacy-preserving techniques such as differential privacy and federated learning.
Model Security & Integrity
AI models themselves can be vulnerable to theft, reverse engineering, and manipulation. We assess your model protection mechanisms, evaluate risks of model inversion attacks, and test for adversarial vulnerabilities that could cause misdiagnosis or treatment errors. Our team examines model versioning, update procedures, and rollback capabilities.
Infrastructure Security
We analyze the security posture of your AI infrastructure, including cloud environments, edge devices, and on-premises systems. This encompasses network segmentation, API security, authentication mechanisms, and integration points with electronic health records (EHR) systems.
Operational Security
Beyond technical controls, we evaluate your operational procedures including incident response plans, security monitoring capabilities, vendor management practices, and staff training programs. We assess your ability to detect and respond to AI-specific security incidents.
Risk Prioritization & Remediation
Our assessment doesn't just identify vulnerabilities—we prioritize them based on potential impact to patient safety, regulatory compliance, and business operations. You'll receive a detailed remediation roadmap with:
- Critical risks requiring immediate attention
- High-priority vulnerabilities to address within 30 days
- Medium-risk issues for quarterly remediation
- Long-term security improvements for ongoing enhancement
Regulatory Compliance Alignment
Our assessment framework aligns with multiple regulatory requirements including HIPAA, FDA guidance on AI/ML-based medical devices, NIST AI Risk Management Framework, and emerging state privacy laws. We help you demonstrate due diligence to regulators and auditors.
Deliverables & Timeline
The typical assessment takes 4-6 weeks depending on the complexity of your AI systems. You'll receive comprehensive documentation including executive summaries for leadership, technical findings for your IT team, and actionable remediation plans with cost estimates and timelines.
Ongoing Support
Security is not a one-time event. We provide ongoing consultation to help you implement our recommendations, validate remediation efforts, and adapt to emerging threats. Our team stays current with the latest AI security research and threat intelligence specific to healthcare environments.