Data identification should be the first step to implementing a comprehensive data protection strategy. In fact, data identification holds the key to ensuring the effectiveness of downstream ...

Getting your hands on a large, rich, longitudinal set of patient data is a data scientist’s dream. You can’t train a model that predicts sepsis without access to a good dataset of hospital visits. You ...

IBM® Unstructured Data Identification and Management addresses the problems that challenge records management, electronic discovery, compliance, storage optimization and data migration initiatives. By ...

De-identification is a critical component of using patient data both ethically and legally, ensuring compliance with a myriad of privacy regulations. TripleBlind’s de-identification of data occurs in ...

Australian Attorney-General George Brandis has introduced into the Senate the legislation criminalising the re-identification of de-identified datasets that are collected and published by the ...

(1) For AI, see AI data labeling. (2) The classifying of data for analysis and compliance. Direct data include name and ID numbers such as social security and driver's license. Indirect data cover ...

Researchers from two universities in Europe have published a method they say is able to correctly re-identify 99.98% of individuals in anonymized data sets with just 15 demographic attributes. Their ...