Features & Roadmap

Tabular anonymisation

Transforms structured data on a large scale, in accordance with IM policy guidelines.

Free text anonymisation

Uses advanced text analysis techniques to detect and redact sensitive information from unstructured documents.

Mock data generation

Creates data that mimics the structure and format of real data by selecting from a list of SG-specific fields or by creating custom entities.

Management and sharing of Salts/Secret Keys and Decryption

Efficiently handles and distributes cryptographic elements essential for data protection. This feature guarantees secure management and regulated sharing of critical cryptographic components needed for both data protection and decryption.

Tabular Anonymisation modules offered by Cloak

• Improve performance of free-text anonymisation through novel LLM-based approaches
• Extend modalities of access to serve a wider range of users, including non-government
• Incorporation of other privacy technologies, e.g., Homomorphic Encryption and Searchable Symmetric Encryption to process and search data even when encrypted