Cloak offers the following data privacy modules to support different use cases, refer to Fig 1 for all the Tabular Anonymisation modules offered by Cloak.
Tabular anonymisation
Anonymise your datasets based on the guidelines in the Instruction Manual for ICT&SS Management. This includes implementation of custom data anonymisation techniques, the addressing of re-identification risks, and generation of detailed reports on how your data was transformed.
Free text anonymisation
Analyse, redact, and anonymise sensitive information in text and word documents. Reduce privacy leakages from unstructured data, while preserving data utility.
Mock data generation
Generate accurate sample data to use in lieu of real datasets. Features customisable data fields, distributions and formats. Ideal for testing and development purposes.
Last updated 06 May 2024
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