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公开(公告)号：US20230037489A1
公开(公告)日：2023-02-09
申请号：US17893509
申请日：2022-08-23
Applicant: Zscaler, Inc.
Inventor： Narinder Paul , Arun Bhallamudi , Balakrishna Bayar , James Tan
Abstract: Cloud-based data loss prevention (DLP) systems and methods include monitoring a file to be checked for sensitive data from a user associated with a tenant; obtaining one or more dictionaries for the tenant; identifying a DLP match based on any of identifying exact document matches between the file and files in the one or more dictionaries, identifying same text in the file as in an indexed document in the one or more dictionaries, identifying content in the file that contains a subset of text in an indexed document in the one or more dictionaries, and identifying content that is similar but not exact as the text in an indexed document in the one or more dictionaries; and, responsive to the DLP match, blocking the file in the cloud-based system.
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公开(公告)号：US11429589B2
公开(公告)日：2022-08-30
申请号：US16923225
申请日：2020-07-08
Applicant: Zscaler, Inc.
Inventor： Narinder Paul , Arun Bhallamudi , Balakrishna Bayar , James Tan
Abstract: Systems and methods include obtaining a file to be checked for Data Loss Prevention (DLP); determining a cryptographic hash of the file and comparing the cryptographic hash to corresponding cryptographic hashes of indexed files; responsive to a match between the cryptographic hash and one of the corresponding cryptographic hashes, determining a DLP match and performing an action based thereon; responsive to no match, extracting text from the file and creating an ordered sequence of hashes of variable length chunks of the extracted text; and determining the DLP match with one of the indexed files based on comparing the ordered sequence of hashes with corresponding ordered sequence of hashes of the indexed files.
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公开(公告)号：US12299156B2
公开(公告)日：2025-05-13
申请号：US17893509
申请日：2022-08-23
Applicant: Zscaler, Inc.
Inventor： Narinder Paul , Arun Bhallamudi , Balakrishna Bayar , James Tan
Abstract: Cloud-based data loss prevention (DLP) systems and methods include monitoring a file to be checked for sensitive data from a user associated with a tenant; obtaining one or more dictionaries for the tenant; identifying a DLP match based on any of identifying exact document matches between the file and files in the one or more dictionaries, identifying same text in the file as in an indexed document in the one or more dictionaries, identifying content in the file that contains a subset of text in an indexed document in the one or more dictionaries, and identifying content that is similar but not exact as the text in an indexed document in the one or more dictionaries; and, responsive to the DLP match, blocking the file in the cloud-based system.
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Patent Agency Ranking
公开(公告)号：US20220253430A1
公开(公告)日：2022-08-11
申请号：US17729086
申请日：2022-04-26
Applicant: Zscaler, Inc.
Inventor： Narinder Paul , Arun Bhallamudi , Balakrishna Bayar , James Tan
Abstract: Cloud-based data loss prevention (DLP) systems and methods include monitoring a file to be checked for sensitive data from a user associated with a tenant; obtaining one or more dictionaries for the tenant; identifying a DLP match based on any of identifying exact document matches between the file and files in the one or more dictionaries, identifying same text in the file as in an indexed document in the one or more dictionaries, identifying content in the file that contains a subset of text in an indexed document in the one or more dictionaries, and identifying content that is similar but not exact as the text in an indexed document in the one or more dictionaries; and, responsive to the DLP match, blocking the file in the cloud-based system.
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公开(公告)号：US11829347B2
公开(公告)日：2023-11-28
申请号：US17729086
申请日：2022-04-26
Applicant: Zscaler, Inc.
Inventor： Narinder Paul , Arun Bhallamudi , Balakrishna Bayar , James Tan
CPC classification number: G06F16/2365 , G06F16/137 , G06F16/2255 , H04L9/0643
Abstract: Cloud-based data loss prevention (DLP) systems and methods include monitoring a file to be checked for sensitive data from a user associated with a tenant; obtaining one or more dictionaries for the tenant; identifying a DLP match based on any of identifying exact document matches between the file and files in the one or more dictionaries, identifying same text in the file as in an indexed document in the one or more dictionaries, identifying content in the file that contains a subset of text in an indexed document in the one or more dictionaries, and identifying content that is similar but not exact as the text in an indexed document in the one or more dictionaries; and, responsive to the DLP match, blocking the file in the cloud-based system.
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公开(公告)号：US11671433B2
公开(公告)日：2023-06-06
申请号：US16853862
申请日：2020-04-21
Applicant: Zscaler, Inc.
Inventor： Narinder Paul , Arun Bhallamudi , James Tan , Frank Zhang , Pooja Deshmukh
CPC classification number: H04L63/1408 , H04L9/3236 , H04L63/166
Abstract: A cloud-based security system includes a plurality of enforcement nodes connected to one another; a central authority connected to the plurality of enforcement nodes; and a Data Loss Prevention (DLP) service executed between the plurality of enforcement nodes, wherein the DLP service includes one or more DLP rules based on one or more DLP engines for a tenant, and wherein, for the DLP service, a first enforcement node is configured to monitor traffic of a user of the tenant, detect a DLP rule violation based on the one or more DLP rules, and forward DLP incident information to a second enforcement node, and the second enforcement node is configured to transmit the DLP incident information to a server for the tenant, including both DLP triggering content that cause the DLP rule violation and DLP scan metadata.
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公开(公告)号：US20210374121A1
公开(公告)日：2021-12-02
申请号：US16923225
申请日：2020-07-08
Applicant: Zscaler, Inc.
Inventor： Narinder Paul , Arun Bhallamudi , Balakrishna Bayar , James Tan
Abstract: Systems and methods include obtaining a file to be checked for Data Loss Prevention (DLP); determining a cryptographic hash of the file and comparing the cryptographic hash to corresponding cryptographic hashes of indexed files; responsive to a match between the cryptographic hash and one of the corresponding cryptographic hashes, determining a DLP match and performing an action based thereon; responsive to no match, extracting text from the file and creating an ordered sequence of hashes of variable length chunks of the extracted text; and determining the DLP match with one of the indexed files based on comparing the ordered sequence of hashes with corresponding ordered sequence of hashes of the indexed files.
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公开(公告)号：US20210329010A1
公开(公告)日：2021-10-21
申请号：US16853862
申请日：2020-04-21
Applicant: Zscaler, Inc.
Inventor： Narinder Paul , Arun Bhallamudi , James Tan , Frank Zhang , Poola Deshmukh
Abstract: A cloud-based security system includes a plurality of enforcement nodes connected to one another; a central authority connected to the plurality of enforcement nodes; and a Data Loss Prevention (DLP) service executed between the plurality of enforcement nodes, wherein the DLP service includes one or more DLP rules based on one or more DLP engines for a tenant, and wherein, for the DLP service, a first enforcement node is configured to monitor traffic of a user of the tenant, detect a DLP rule violation based on the one or more DLP rules, and forward DLP incident information to a second enforcement node, and the second enforcement node is configured to transmit the DLP incident information to a server for the tenant, including both DLP triggering content that cause the DLP rule violation and DLP scan metadata.
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