July 2026 Summaries

Understanding the distinction between pseudonymization and anonymization is crucial for organizations managing data, as choosing the wrong method can lead to significant compliance and security issues, especially under GDPR. Pseudonymization involves replacing personal identifiers with codes while retaining the ability to re-identify individuals, thus keeping it within the scope of GDPR. Anonymization, on the other hand, irreversibly removes identifying elements, making the data non-personal and outside GDPR's reach, although achieving true anonymization is challenging. Tokenization is a form of pseudonymization where sensitive data is replaced with tokens stored separately. In regulated industries, neither method fully protects data during active processing, which is where privacy-enhancing technologies like Fully Homomorphic Encryption and Federated Learning become essential. These technologies enable secure data collaboration without exposing raw data, addressing the "data in use" problem that traditional methods like pseudonymization and anonymization cannot solve. Duality Technologies offers solutions that integrate these advanced privacy technologies, allowing organizations to handle sensitive data safely across different environments and regulatory frameworks.