Burger

Competitive Analysis

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 Yes Yes No No No No No
Maximum Data Accuracy, Value & Utility Yes No No No No No No
Embedded Controls that Flow with the Data Across Iteration & Multiple Use Cases Yes Yes No No No No No
Supports Centralised & Decentralised Use Cases by Defeating Unauthorised Re-identification Yes Yes No No No Yes Yes
Enables High-Value Selective, Gradated Relinking of Attributes to Enriched Data Yes No No No No No No
Provides Auditable Lineage of Data Use & Protection Yes No No No No No No
Satisfies Statutory Requirements for Expanded Use Rights & Reduced Obligations (e.g. GDPR Pseudonymisation, CCPA De-identification) Yes Yes No No No No No
To learn why, see the following four resource pages:
FunctionalSeparation.com Pseudonymisation.com MosaicEffect.com ENISAguidelines.com