Abstract: The system and method provide for automatically extracting latent structures and relationships in datasets of any size, to enable effective management of that data. The system and method produce hierarchies of fields with relationships of a particular type and strength. The hierarchies of fields with relationships of a particular type and strength can be used to optimize the data storage profile of a company by separating large datasets into multiple smaller datasets, reducing operational costs, perform enhanced analysis of the data through a greater understanding of its internal logical structure, reduce privacy risk within the dataset by removing risky fields and substituting them in analytical processing with less risky fields that carry a similar amount of statistical information, to identify inference risks in the data to enable more effective data protection decision-making, and can be used to separate out wide datasets into multiple narrower/smaller datasets, thus aiding more efficient analytics.

Abstract: A system and method for estimating privacy risk measures are described. The system and method include an input-output (IO) interface for receiving at least one input dataset, on at least one of which a measurement of the risk is to be performed, and a configuration file governing the specifications of the dataset(s), risk scoring and risk mitigation settings, a processor for determining the size of at least one dataset, based on the size of at least one dataset being larger than a threshold, a sampling engine for estimating the privacy risk by computing a statistically representative sample size and subsampling at least one dataset to a sample size, and a scoring engine to perform column level measurements on the subsampled dataset and row level measurements on at least one dataset. Further included, based on the column level and row level measurements, the IO interface outputs a privacy risk.

Abstract: A system and method for objective quantification and mitigation of privacy-risk of a dataset is disclosed.

Abstract: A system and method for objective quantification and mitigation of privacy-risk of a dataset is disclosed.

Abstract: A system and for improving security of personally identifiable information stored in a computer database. The system and method enable a user's location information to be maintained in a data storage and retrieval system in such a way that it prohibits a user from being uniquely identified by the location information stored in the data storage and the retrieval system.

Abstract: A system and method for guiding privacy-enhancing transformations are described. The system and method include a recommendation engine configured to identify sets of transformations to mitigate a privacy risk below a user specified threshold specified in-terms of privacy-risk score for a given input dataset while keeping the utility of the dataset above the user-specified utility threshold specified in-terms of utility score. A simulation engine configured to simulate the identified set of transformations from the recommendation engine on the dataset to determine the optimal application of the plurality of transformations for maximizing the utility of the dataset, and output device to provide the optimized dataset with the privacy risk score and utility score.

Abstract: A system and method for objective quantification and mitigation of privacy-risk of a dataset is disclosed.

Abstract: A system and method of harnessing knowledge and expertise to improve machine learning is disclosed. The system and method include capturing the data to input, preparing the captured data, enhancing the prepared data, modeling and learning the process associated with the enhanced data, reviewing the result of the learning and modeling to produce an output, visualizing the reviewed output, and input and recommendations from recommendations engine that make recommendations of techniques and configurations to use.

Abstract: A system and method for providing the ability to use k-anonymous groups to analyze disparate data sets via the use of either individual to segment or segment to segment matching using modelling or querying approaches are disclosed. The system and method include creating a common representation across all consumer and producer data sets, training one or more models or defining one or more queries optimized to recognize the behavior of the specified subjects within the generated common representation, evaluating those models or executing those queries on the common representation of the producer data set(s) to identify likely candidates for the specified input data subjects in each producer data set, the performing of actions over the identified subjects for each producer data set, and output the analytics result.

Abstract: A system and for improving security of personally identifiable information stored in a computer database. The system and method enable a user's location information to be maintained in a data storage and retrieval system in such a way that it prohibits a user from being uniquely identified by the location information stored in the data storage and the retrieval system.

Abstract: A system and for improving security of personally identifiable information stored in a computer database. The system and method enable a user's location information to be maintained in a data storage and retrieval system in such a way that it prohibits a user from being uniquely identified by the location information stored in the data storage and the retrieval system.

Abstract: A system and method for objective quantification and mitigation of privacy-risk of a dataset is disclosed.

Abstract: A system and method for generating one or more synthetic datasets with privacy and utility controls are disclosed.

Abstract: A system and method for improving security of personally identifiable information including a history of user's economic transactions (e.g., credit card transaction, loyally card transaction, etc.), user's usage patterns of power, media and telecom stored in a data storage and retrieval system. The system and method prohibit a user from being uniquely identified by the information stored in the data storage and the retrieval system.

Abstract: A system and for improving security of personally identifiable information stored in a computer database. The system and method enable a user's location information to be maintained in a data storage and retrieval system in such a way that it prohibits a user from being uniquely identified by the location information stored in the data storage and the retrieval system.

Abstract: A system and method for improving security of personally identifiable information including a user's navigations through the internet stored in a data storage and retrieval system. The system and method prohibit a user from being uniquely identified by the information stored in the data storage and the retrieval system.