Protegrity US Holding, LLC

Protegrity Corporation

Denis Scherbakov

Ulf Mattsson

Yigal Rozenberg

Vichai Levy

David Clyde Williamson

Raul Ortega

Fredrik Mörtberg

Data in various formats can be protected in a distributed tokenization environment. Examples of such formats include date and time data, decimal data, and floating point data. Such data can tokenized by a security device that instantiates a number of tokenization pipelines for parallel tokenization of the data. Characteristics of such data can be used to tokenize the data. For instance, token tables specific to the data format can be used to tokenized the data. Likewise, a type, order, or configuration of the operations within each tokenization pipeline can be selected based on the data format or characteristics of the data format. Each tokenization pipeline performs a set of encoding or tokenization operations in parallel and based at least in part on a value received from another tokenization pipeline. The tokenization pipeline outputs are combined, producing tokenized data, which can be provided to a remote system for storage or processing.

Parallel tokenization of date and time information in a distributed network environment

Unicode data can be protected in a distributed tokenization environment. Data to be tokenized can be accessed or received by a security server, which instantiates a number of tokenization pipelines for parallel tokenization of the data. Unicode token tables are accessed by the security server, and each tokenization pipeline uses the accessed token tables to tokenization a portion of the data. Each tokenization pipeline performs a set of encoding or tokenization operations in parallel and based at least in part on a value received from another tokenization pipeline. The outputs of the tokenization pipelines are combined, producing tokenized data, which can be provided to a remote computing system for storage or processing.

Parallel Unicode tokenization in a distributed network environment

Parallel tokenization of floating point information in a distributed network environment

Parallel tokenization of decimal information in a distributed network environment

Parallel unicode tokenization in a distributed network environment

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Munich, Germany

Denis Scherbakov