Protegrity Corporation

Protegrity US Holding, LLC

Ulf Mattsson

Yigal Rozenberg

Vichai Levy

Raul Ortega

Rajnish Jain

Zvika Ferentz

Hans Meijer

Denis Scherbakov

David Clyde Williamson

Jan Boberg

Thomas Valfridsson

Mike Hsu

Kenneth Blomkvist

Tamojit Das

Fredrik Mörtberg

Data in a database can be protected, for instance by tokenizing the entries of the database using one or more token tables. To enable searching data within the database without first detokenizing the tokenized database entries, bigrams of each data entry can also be tokenized and stored in association with the tokenized data entry. When a query term is received, the query term can be parsed into bigrams, and each bigram can be tokenized. The tokenized query bigrams can be used to query the database, and tokenized database entries corresponding to tokenized bigrams that match the tokenized query bigrams can be identified and returned as search results.

Data tokenization and search in a distributed network

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

A gateway device for implementing data security is described herein. The gateway device is coupled between a client device and a server device, and is configured to receive encoded data and a set of operations from the server device in response to a request for cloud services from the client device. The gateway device is configured to decode the encoded data, and to provide the decoded data and the set of operations to the client device. The client device is configured to perform the set of operations on the decoded data, and to incorporate the operation results into an application or interface corresponding to the requested cloud service. The gateway device is configured to encode the operation result data, and to provide the encoded operation result data to the server device for storage.

Data computation in a multi-domain cloud environment

A method for distributed tokenization of sensitive strings of characters, such as social security numbers, credit card numbers and the like, in a local server is disclosed. The method comprises the steps of receiving from a central server at least one, and preferably at least two, static token lookup tables, and receiving a sensitive string of characters. In a first tokenization step, a first sub string of characters is substituted with a corresponding first token from the token lookup table(s) to form a first tokenized string of characters, wherein the first sub string of characters is a substring of the sensitive string of characters. Thereafter, in a second step of tokenization, a second sub string of characters is substituted with a corresponding second token from the token lookup table(s) to form a second tokenized string of characters, wherein the second substring of characters is a substring of the first tokenized string of characters. Optionally, one or more additional tokenization steps is/are used.

Distributed tokenization using several substitution steps

Parallel tokenization of decimal information in a distributed network environment

A gateway device for implementing data security is described herein. The gateway device is coupled between a client device and a server device, and generates a mapping between portions of data received from a client device and interface fields or data elements of the client device. Upon receiving subsequent data from the client device, the gateway device can access the generated mapping to identify portions of the subsequent data corresponding to particular interface fields or data elements of the client device using the mapping, and can encode the identified portions of the subsequent data, for instance based on data protection techniques defined by a security policy. The encoded data can then be outputted by the gateway device to the server device.

Mapping between user interface fields and protocol information

Database entries can be protected by indexing the entries using a plurality of indexes, each associated with a level of access rights. A level of access rights can be determined from a search query, and an index can be selected based on the determined level of access rights. A search key can be generated based on the received query, and the selected index can be searched using the search query. Database entries mapped to the values of the selected index returned in response to the search can be outputted. Each index is associated with a different granularity defining the number and/or ambiguity of search results returned in response to searching an index.

Privacy preserving data search

New tokenization tables are derived at intervals in order to increase the security of tokenized data that is transferred between two endpoints. Generation of the new tokenization tables is based on previous tokenization tables, which advantageously allows the generation process to be performed locally at the two endpoints independently of an external tokenization table provider. New tokenization tables can periodically be distributed to the endpoints as a new starting point for derivation.

Decentralized token table generation

Parallel unicode tokenization in a distributed network environment

A tokenization system tokenizes sensitive data to prevent unauthorized entities from accessing the sensitive data. The tokenization system accesses sensitive data, and retrieves an initialization vector (IV) from an IV table using a first portion of the sensitive data. A second portion of the sensitive data is modified using the accessed initialization vector. A token table is selected from a set of token tables using a third portion of the sensitive data. The modified second portion of data is used to query the selected token table, and a token associated with the value of the modified second portion of data is accessed. The second portion of the sensitive data is replaced with the accessed token to form tokenized data.

Growing community of inventors

Cos Cob, CT, United States of America

Ulf Mattsson