Anonos Variant Twins Enable Data Strategies
That Anonymisation Techniques Do Not
  Anonos Variant Twins GDPR Pseudonymisation Anonymisation Techniques
Requirements for Full Data Use     Generalisation, Perturbation & Suppression Hashing / Static Tokenisation Differential Privacy Synthetic Data Homomorphic Encryption
Speed-to-insight, Inside the Law
Maximum Data Accuracy, Value & Utility
Embedded Controls that Flow with the Data Across Iteration & Multiple Use Cases
Supports Centralised & Decentralised Use Cases by Defeating Unauthorised Re-identification
Enables High-Value Selective, Gradated Relinking of Attributes to Enriched Data
Provides Auditable Lineage of Data Use & Protection
Satisfies Statutory Requirements for Expanded Use Rights & Reduced Obligations (e.g. GDPR Pseudonymisation, CCPA De-identification)
To learn why, see the following four resource pages:

Maximise the Lawful Value of Your Data

New state-of-the-art GDPR Pseudonymisation-enabled Functional Separation technology from Anonos supports distributed processing of protected versions of data – producing results as accurate as processing unprotected cleartext versions of personal data – to enable ethical & lawful data analytics, AI, ML, sharing and combining.
I would like to repurpose my data to lawfully…