All data privacy principles are incorporated by design into Allyfe.
All studies conducted via Allyfe are logically separated to keep them safe from cyberattacks and internal threats.
Advanced organizational and technical measures are implemented to face cybersecurity threats.
Allyfe’s cloud-based platform has been architected and engineered to incorporate by design the most critical principles of data protection. Our firm conviction is that data privacy in data processing is best guaranteed when it is already integrated in the technology right from the conception. The strictest security and organizational measures have been implemented and embedded by design in every single part of the application’s architecture and its frontend and backend systems. Data minimization, user authentication, access control, pseudonymization, anonymization and encryption are only a few examples of the technical security features that we have adopted to secure data. A thorough Data Protection Impact Assessment (DPIA) has been conducted on Allyfe’s technology to identify, eliminate and mitigate potential risks affecting the individual freedom. We relentlessly focus on ensuring that individuals’ rights are guaranteed and privacy requests are handled with care.
Allyfe ensures top-tier data security with built-in physical, network, and operational isolation. Our platform supports global deployment to meet local regulatory needs for data processing and storage. Customers can choose between shared or private tenants, with full control over data location and separation. Each study is logically isolated, with user access limited on a study-by-study basis to prevent cross-study data exposure. Data is encrypted at rest and in transit. Disaster recovery and offline backups use strong encryption and are stored securely across separate geographies and providers. Access paths are automatically tested with every update, and Allyfe’s internal systems are physically separated from the platform to guard against insider threats.
To counter modern cybersecurity threats, Allyfe applies advanced technical safeguards across its infrastructure. Network traffic is segmented into multiple layers, isolating public servers from sensitive data. Storage systems are never directly accessible from public networks.We deploy firewalls—both internal and external—with automated rule management, real-time logging, and continuous traffic analysis. AI and machine learning enhance threat detection by monitoring behavioral patterns and historical usage data. A Web Application Firewall (WAF) and bot filtering services block unauthorized or malicious traffic, including spam and automated attacks. Protections are in place to defend against threats such as SQL injection and cross-site scripting (XSS). All deployed software and libraries are continuously scanned for vulnerabilities, and deployment is blocked if high-risk issues are detected. Alerts and monitoring are enabled by default to notify the Allyfe security team of any suspicious activity.