Secure AI for Healthcare
From clinical scribes to patient-facing assistants, keep AI workflows compliant and controlled without slowing teams down.
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Why AI Security Matters to Healthcare Sector
Providers and Health Systems
Clinical AI touches PHI, clinical documentation, and patient communications. Without dedicated controls, small mistakes can become privacy incidents or patient safety risk. Teams need monitoring, policy enforcement, and audit-ready records that hold up under review.
HealthTech and Digital Health Services
AI features are shipping fast, often inside regulated workflows. Security has to cover prompts, retrieved context, and outputs, not just traditional data loss prevention. This helps reduce PHI exposure, catch prompt injection attempts, and support compliance expectations for AI-enabled products.
Payers and Healthcare Partners
AI increases the volume of sensitive data moving across organizations, vendors, and service providers. That creates new exposure paths, especially with unsanctioned tools and inconsistent handling. Visibility, consistent policy, and strong audit trails help protect member data and maintain trust.
The Lasso AI Security Platform
Built from the ground up in the AI era, Lasso’s AI Security Platform empowers Healthcare Sector Agencies to unlock the full potential of LLMs and AI agents safely, responsibly, and confidently.
Secure AI Adoption at Scale, Without Losing Oversight
Real-Time Monitoring and Incident Response
See AI interactions as they happen and catch suspicious behavior early. When something needs escalation, teams have the context needed to investigate and respond.
Clinical Safety Guardrails
Traditional DLP doesn’t evaluate risky content generated by models. Add controls that help reduce clinically unsafe outputs, including hallucinated content, and limit liability in regulated workflows.
Compliance-Ready Usage Reporting
Maintain audit-ready records across AI interactions to support HIPAA and HITRUST-aligned oversight, compliance reviews, and incident investigations.
Visibility Into Shadow AI Usage
Healthcare teams increasingly use unsanctioned AI tools. Bring Shadow AI into view so policy and controls apply consistently across departments, vendors, and patient-facing services.
Core Components for Health Sector AI Security
PHI Safeguards
Set policies for what can enter prompts, what can be retrieved as context, and what can leave in an output. Built for real clinical and operational usage patterns, beyond static keyword rules.
Clinical Output Safety
Models can generate confident but incorrect content. Flag clinically risky responses early, before they reach clinicians, patients, or documentation workflows.
Shadow AI Mapping
Healthcare adoption often outpaces policy. Map unsanctioned AI usage across teams and vendors so blind spots don’t build up across departments.
Audit Evidence
Maintain clear, searchable records of AI interactions and policy outcomes. Support audits and investigations aligned with HIPAA, HITRUST, ISO 27001, and SOC 2 expectations without relying on manual screenshots.
Pre-Deployment Validation
Validate AI features and configurations before they touch sensitive workflows at scale. Surface issues like prompt injection, jailbreak attempts, and policy bypass behavior, then re-test as prompts, models, and workflows change.
FAQs
How does Lasso protect against PHI exposure in AI outputs?
Can Lasso integrate with our existing EHR and clinical security tools?
How does Lasso detect and stop prompt injection or malicious manipulation?
Is Lasso suitable for organizations still piloting AI in healthcare?
What compliance frameworks does Lasso align with for healthcare?
Keep up with Lasso
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