We combine cutting-edge technology and rigorous protocols to defend against modern threats and ensure regulatory compliance.
AES-256 for data at rest and in transit, preventing interception.
Models train locally on decentralized data, ensuring no raw patient data is ever shared or exposed.
Strict role-based access control (RBAC) and multi-factor authentication (MFA) for all users.
Continuous vulnerability scanning and immutable logs for compliance and threat detection.
Built to enforce data localization, explicit consent, and robust breach notification protocols.
Incorporates principles from HIPAA and GDPR for best-in-class data protection.
Our commitment to patient privacy is not an afterthought—it's foundational. We've built data protection into every aspect of our platform.
Data Anonymization: Techniques like tokenization and differential privacy mask patient identities.
Granular Consent Management: Explicit, revocable consent for all data processing activities.
Privacy by Design: We embed data protection into every layer of our technology stack.
Data Minimization: We only collect and process data that is essential for model training and diagnosis.
Our unique federated learning approach ensures AI models improve without ever centralizing patient data.
"Zero patient data leaves hospital premises while contributing to AI model improvements across the network."
Independently verified security and compliance standards.
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Target: Q1 2026 Target
Target: Q4 2026 Target
Request a personalized security assessment or speak with our team to learn how Medow can protect your institution's data.