Abstract: Disclosed embodiments pertain to identifying sensitive data using redacted data. Data entry into electronic form fields can be monitored and analyzed to detect improperly entered sensitive data. The type of sensitive data can be determined, and the sensitive data can be removed or redacted from the electronic form field. Surrounding context data, including text associated with the sensitive data, can be identified and captured. The context data and type of sensitive data can be utilized to train or update a machine learning model configured to identify sensitive data. In one instance, the machine learning model can be employed to detect improperly entered sensitive data, and context and type can be utilized to improve the performance and predictive power of the machine learning model.

Abstract: In some implementations, a transaction card includes a first card body portion, a second card body portion, at least one of an integrated circuit chip or a magnetic stripe accessible from at least one of the first card body portion or the second card body portion, and a third card body portion that includes a series of accordion pleats. The series of accordion pleats may be between the first card body portion and the second card body portion. The series of accordion pleats may be configured to contract the third card body portion into a contracted configuration, and to expand the third card body portion into an expanded configuration. The first card body portion may be nearer to the second card body portion with the third card body portion in the contracted configuration than with the third card body portion in the expanded configuration.