Detecting sensitive information in records using context and decoys

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United States of America Patent

PATENT NO 12118107
APP PUB NO 20220382891A1
SERIAL NO

17332054

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Abstract

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Aspects of the present disclosure provide techniques for detecting sensitive information. Embodiments include determining a first likelihood that a record contains at least a given type of sensitive information using a first detection technique that involves providing one or more inputs to a machine learning model based on the record and receiving the first likelihood as an output from the machine learning model based on the one or more inputs. Embodiments include determining a second likelihood that the record contains at least the given type of sensitive information using a second detection technique comprising a search of the record. Embodiments include applying a policy to determine whether the record contains sensitive information based on the first likelihood and the second likelihood. Embodiments include performing one or more actions based on whether the record contains sensitive information.

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Patent Owner(s)

Patent OwnerAddress
INTUIT INC2700 COAST AVENUE MOUNTAIN VIEW CA 94043

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Berkowitz, Yerucham Givat Shmuel, IL 3 1
Horesh, Yair Kfar-Saba, IL 116 448
Shmidov, Elad Kefar Sava, IL 5 1
Zhicharevich, Alexander Petah Tikva, IL 32 96

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