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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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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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Patent Agency Ranking
公开(公告)号：US20210119798A1
公开(公告)日：2021-04-22
申请号：US17132499
申请日：2020-12-23
Applicant: Zscaler, Inc.
Inventor： Balakrishna Bayar , Arun Bhallamudi , Srikanth Devarajan , Siva Udupa
Abstract: Systems and methods of Exact Data Matching (EDM) for identifying related tokens in data content using structured signature data implemented in a cloud-based system receiving data sets and customer configuration from a customer, wherein the data sets include customer specific sensitive data from a structured data source with each token represented by a hash value and the customer configuration includes one or more primary keys for a plurality of records in the data sets; distributing the data sets and the customer configuration to a plurality of nodes in the cloud-based system; performing monitoring of content between a client of the customer and an external network; detecting a presence of a plurality of tokens associated with a record in the customer specific sensitive data based on the monitoring; and performing a policy-based action in the cloud-based system based on the detecting.
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公开(公告)号：US10911233B2
公开(公告)日：2021-02-02
申请号：US15790513
申请日：2017-10-23
Applicant: Zscaler, Inc.
Inventor： Balakrishna Bayar , Arun Bhallamudi , Srikanth Devarajan , Siva Udupa
Abstract: Systems and methods of Exact Data Matching (EDM) for identifying related tokens in data content using structured signature data implemented in a cloud-based system receiving data sets and customer configuration from a customer, wherein the data sets include customer specific sensitive data from a structured data source with each token represented by a hash value and the customer configuration includes one or more primary keys for a plurality of records in the data sets; distributing the data sets and the customer configuration to a plurality of nodes in the cloud-based system; performing monitoring of content between a client of the customer and an external network; detecting a presence of a plurality of tokens associated with a record in the customer specific sensitive data based on the monitoring; and performing a policy-based action in the cloud-based system based on the detecting.
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公开(公告)号：US11863674B2
公开(公告)日：2024-01-02
申请号：US17132499
申请日：2020-12-23
Applicant: Zscaler, Inc.
Inventor： Balakrishna Bayar , Arun Bhallamudi , Srikanth Devarajan , Siva Udupa , Pooja Deshmukh
IPC: G06F7/04 , H04L9/32 , H04L9/40 , G06F21/64 , G06F21/62 , H04W12/02 , G06F21/55 , H04W12/80 , G06F40/284
CPC classification number: H04L9/3213 , G06F21/552 , G06F21/6218 , G06F21/6263 , G06F21/64 , G06F40/284 , H04L9/3247 , H04L63/0428 , H04L63/1416 , H04L63/30 , H04W12/02 , H04W12/80
Abstract: Systems and methods of Exact Data Matching (EDM) for identifying related tokens in data content using structured signature data implemented in a cloud-based system receiving data sets and customer configuration from a customer, wherein the data sets include customer specific sensitive data from a structured data source with each token represented by a hash value and the customer configuration includes one or more primary keys for a plurality of records in the data sets; distributing the data sets and the customer configuration to a plurality of nodes in the cloud-based system; performing monitoring of content between a client of the customer and an external network; detecting a presence of a plurality of tokens associated with a record in the customer specific sensitive data based on the monitoring; and performing a policy-based action in the cloud-based system based on the detecting.
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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：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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