Intuit, Inc.

Oracle International Corporation

Mithun U Shenoy

Sunil H Madhani

Anu Sreepathy

Samir R Kakkar

Venkatsubramanian Venkatnarayan

In certain embodiments, a security system is provided to receive activity data associated with a first source. The security system may scan the activity data to determine if there are one or more actions of interest associated with a first user account in the activity data. The security system may retrieve, from memory, security rules associated with the first cloud-based service and/or an organization associated the first user account. The security system may compare the actions of interest associated with the first user account to the security rules to determine if there are one or more security violations. In certain embodiments, the security system may retrieve additional activity data from a second source. The security system may scan the additional activity data to determine if there are one or more actions of interest associated with the second user account in the additional activity data.

Cloud-based threat detection

A computer-implemented method for securely receiving user data includes a computer associating a marker with a sensitive data field in a form. The method also includes the computer using the marker to facilitate secure entry of user data corresponding to the sensitive data field. The method further includes the computer entering the user data in the sensitive data field in the form. The marker is configured to refer to the sensitive data field without revealing additional information regarding the sensitive data field.

Methods, systems, and computer program products for secure input and reception of sensitive user data

User weighted data indicating acceptance of a given data extraction template and weighted data indicating the number of data fields that the data extraction template can extract accurately is used to calculate data extraction template ranking, or a weighted ranking score, to be associated with the data extraction template. Then the data extraction template having the highest data extraction template ranking score is used in a first attempt to extract data from a source documents of the source document type associated with the data extraction templates. As more data extraction templates associated with a given source document type are received, the data extraction templates having the lowest data extraction template ranking scores are detected/eliminated.

Method and system for managing user contributed data extraction templates using weighted ranking score analysis

User acceptance of a given data extraction template and the number of data fields that the data extraction template can extract accurately is used to calculate data extraction template ranking, or a ranking score, to be associated with the data extraction template. Then the data extraction template having the highest data extraction template ranking score is used in a first attempt to extract data from a source documents of the source document type associated with the data extraction templates. As more data extraction templates associated with a given source document type are received, data extraction template ranking scores are updated/modified, and, in one example, the data extraction templates having the lowest data extraction template ranking scores are detected/eliminated.

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Bengaluru, India

Mithun U Shenoy