FedEHR Reviews

Diplomat MFT by Coviant Software is a powerful, enterprise-ready managed file transfer solution designed for secure, automated delivery of sensitive data. It supports leading secure protocols including SFTP, FTPS, HTTPS, and AS2 which integrates seamlessly with platforms like AWS S3, Azure, Google Cloud, Oracle, SharePoint, Box, and Dropbox. Diplomat MFT includes built-in PGP encryption, IP access rules, threat intelligence scanning, and multi-factor authentication, features that help organizations maintain compliance with regulations like HIPAA, PCI/DSS, GLBA, GDPR, and DORA. If you're overwhelmed by compliance risks or face challenges with managing brittle scripts, it’s time for a better solution. Diplomat MFT eliminates uncertainty and gives you peace of mind. Start your free trial today.

Source Defense plays a crucial role in safeguarding web safety by securing data precisely at the point of entry. Its platform delivers a straightforward yet powerful approach to ensuring data security and meeting privacy compliance requirements. This solution effectively tackles the threats and risks associated with the growing reliance on JavaScript, third-party vendors, and open-source code within your online assets. By providing various options for code security, it also fills a significant gap in managing the risks of third-party digital supply chains, which includes regulating the actions of third-party, fourth-party, and beyond JavaScript that enhance your website's functionality. Furthermore, Source Defense Platform defends against a wide range of client-side security threats, such as keylogging, formjacking, and digital skimming, while also offering protection against Magecart attacks by extending security measures from the browser to the server environment. In doing so, it ensures a comprehensive security framework that adapts to the complexities of modern web interactions.

Safeguarding sensitive information, particularly personally identifiable information (PII), through strategies such as pseudonymization and anonymization is crucial for secondary applications like comparative effectiveness research, policy assessments, and studies within the life sciences. As organizations gather large amounts of business data to discern patterns, gauge customer preferences, and stimulate innovation, the significance of this process grows. Adherence to legal frameworks like HIPAA and GDPR requires that data be stripped of identifying details; however, many current de-identification solutions focus primarily on eliminating personal identifiers, which can compromise the usability of the data. Transforming PII into formats that preclude identification while ensuring privacy is essential, and effectively utilizing data anonymization and pseudonymization techniques is key to this endeavor. This approach facilitates thorough data analysis without violating privacy laws. It is crucial to carefully choose suitable methods and privacy models from the broad domains of data de-identification and statistics to achieve effective data de-identification. Additionally, ongoing assessment of the evolving landscape of privacy standards is necessary to maintain compliance. Ultimately, achieving an equilibrium between data usability and the protection of privacy is essential for ethical data management practices.