US 2023/0418971 A1Published application

Context-based pattern matching for sensitive data detection

AssigneeCapital One Services, LLC

InventorsAnh TRUONG, Jeremy GOODSITT, Austin WALTERS

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Abstract

A method includes generating first patterns indicating a data label and associating a candidate token of a text sequence with the data label by removing first tokens from the text sequence based on a match of the first tokens with a token of second patterns and selecting the candidate token from other tokens of the text sequence based on a match between the candidate token and a token of the second patterns. The method also includes updating a token sequence collection to comprise the candidate token and a context token, updating the second patterns with new patterns that match the candidate token and the context token, and removing a first pattern from the second patterns based on a determination that the first pattern matches with a token sequence associated with the test tokens.

Claims20

Dependent claims

A method for updating a rules-based model for detecting sensitive data by updating and pruning regex patterns comprising:

generating inclusive regex patterns based on sensitive tokens associated with a sensitive data label, wherein each pattern of the inclusive regex patterns matches with at least one token of the sensitive tokens;
associating a candidate token of a document with the sensitive data label by removing false positive tokens with exclusive regex patterns from the document and selecting the candidate token from other tokens of the document based on a match between the candidate token and an inclusive regex pattern;
in response to receiving a feedback message from a client-side computing device indicating that the candidate token is incorrectly associated with the sensitive data label, updating a token sequence collection to comprise an additional sequence, the additional sequence comprising the candidate token and context tokens surrounding the candidate token;
updating the exclusive regex patterns with new patterns that match the additional sequence, wherein, for each respective pattern of the new patterns, a count of sequences of the token sequence collection that matches with the respective pattern is greater than a threshold;
and
pruning the exclusive regex patterns by removing an exclusive pattern of the exclusive regex patterns based on a determination that the exclusive pattern matches with a token sequence associated with the sensitive tokens.

3 more elements

One or more tangible, non-transitory, machine-readable media storing instructions that, when executed by one or more processors, effectuate operations comprising:

obtaining a first set of patterns indicating a data label, wherein each respective pattern of the first set of patterns matches with a respective token of a set of test tokens associated with the data label;
associating a set of candidate tokens of a text sequence with the data label by removing a first set of tokens from the text sequence based on a match of the first set of tokens with a token of a second set of patterns and selecting the set of candidate tokens from other tokens of the text sequence based on a match between the set of candidate tokens and a pattern of the second set of patterns;
in response to receiving an indicator that the set of candidate tokens is incorrectly associated with the data label, updating a token sequence collection to comprise the set of candidate tokens and a context token, wherein the context token is within a pre-determined range of tokens between the context token and a candidate token of the set of candidate tokens;
updating the second set of patterns with new patterns that match the set of candidate tokens and the context token;
and
removing a first pattern from the second set of patterns based on a determination that the first pattern matches with a token sequence associated with the set of test tokens.

3 more elements

A system comprising:

one or more processors;
and
memory storing computer program instructions that, when executed by the one or more processors, cause the one or more processors to effectuate operations comprising:
generating a first set of patterns indicating a data label, wherein each pattern of the first set of patterns selects each token of a set of test tokens associated with the data label;
associating a candidate token of a text sequence with the data label by removing a first set of tokens from the text sequence based on a match of the first set of tokens with a token of a second set of patterns and selecting the candidate token from other tokens of the text sequence based on a match between the candidate token and a token of the second set of patterns;
in response to receiving an indicator that the candidate token is incorrectly associated with the data label, updating a token sequence collection to comprise the candidate token and a context token;
updating the second set of patterns with new patterns that match the candidate token and the context token;
and
removing a first pattern from the second set of patterns based on a determination that the first pattern matches with a token sequence associated with the set of test tokens.

6 more elements

Dependencies are inferred from the claim text.