Data encryption
Data in transit and at rest is protected with cryptographic controls appropriate for sensitive healthcare information.
Data protection, access control, and compliance with regulatory standards are built into sDoktor from the start.
sDoktor is built for sensitive communication between patients, doctors, and healthcare institutions. That is why the entire platform is designed to protect user privacy, medical documentation, and all communication channels.
We use modern security mechanisms, access segmentation, and controlled infrastructure processes to ensure reliable, stable, and compliant platform operations.
We do not treat security as a single feature, but as a set of technical and organizational controls distributed across the platform.
Data in transit and at rest is protected with cryptographic controls appropriate for sensitive healthcare information.
Access to data is limited by roles, responsibilities, and legitimate operational need within the platform.
User authentication and identity are protected through credential, session, and access validation safeguards.
Key activities and access events are logged for oversight, traceability, and incident response support.
The platform includes backup and recovery processes to reduce the risk of data loss and service interruption.
Production resources, access paths, and operational flows are segmented to reduce attack surface and improve resilience.
Infrastructure and data processing are structured to support regulatory requirements, service continuity, and a high level of operational control.
The platform is organized to support data processing within controlled European operational processes.
Architecture and processes are designed with privacy, availability, and regulatory alignment within the EU framework in mind.
The focus is on platform stability, performance monitoring, and controlled change and incident management.
The platform is structured to support the demands of modern digital healthcare, including personal data protection, clear access processes, and the long-term sustainability of the security model.
Data processing is designed around minimization, access control, and user privacy protection principles.
The security model reflects high expectations for confidentiality, integrity, and protection of sensitive health information.
The approach emphasizes processing transparency, user rights protection, and responsible personal data governance.
The control framework and operational practices are evolving toward additional formalization and demonstrability of security processes.
The security approach is based on risk management, access controls, and continuous process improvement.
Operational quality and delivery consistency are part of the broader approach to platform reliability and accountability.