Lincoln Safe™ allows agencies to share confidential datasets with third-party stakeholders while protecting the privacy of the elements and subjects of the source data while reducing regulatory risks.
The Lincoln Safe™ de-identification process preserves the utility of confidential datasets while reducing the risk of exposure through automated obfuscation of raw sensitive identifiers. This process includes suppressing or masking data elements that are contained in the metadata as well as redacting the text that is displayed in a pixel-based representation.
To minimize the risk of handling large volumes of sensitive data, Lincoln Safe™ utilizes an automated data transformation pipeline to create de-identified replicas.
Lincoln Safe™ automatically detects and classifies sensitive data using over 80 built-in information & visual detectors as well as extensible custom types for any non-standard data scenarios.
Lincoln Safe™ enables transformations such as redaction, masking, tokenization, and bucketing.
Lincoln Safe™ has built-in security measures to facilitate data security, including encryption of stored data as well as data in transit.
Researchers, Data Scientists, IT, and Healthcare organizations use the Lincoln Safe™ platform to remove personally identifying information (PII), protected health information (PHI), and unique facial biometrics to ensure data privacy and anonymity for use in research, data sharing, and machine learning.