Pseudonymize all structured data
KIProtect can pseudonymize a large number of different data types (numerical, categorical, ordinal, textual) and data formats (e.g. dates, e-mail addresses, names, street addresses, zip codes, URLs) using a wide variety of cryptographic and probabilistic techniques.
Modern cryptographic approach
KIProtect uses state-of-the art cryptographic techniques to produce pseudonymous data in real-time. This makes it unnecessary to store potentially sensitive information like mapping tables and enables decentralized and federated pseudonymization at large scale.
Format- & structure-preserving
KIProtect can pseudonymize many data types in a way that preserves both the format as well as parts of the structure of the original data. This enables you to use the pseudonymized data for processing and analysis without de-pseudonymizing it, increasing the security of your data processing.
Strong security model
KIProtect can reliably estimate the re-identification risk and utility of pseudonymized data based on information-theoretic models. This enables you to precisely quantify the security benefit of the pseudonymous data, balance it against the data utility and ensure regulatory compliance and security during processing.