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US Patent 10972485 Enterprise network threat detection

Patent 10972485 was granted and assigned to Sophos Group PLC on April, 2021 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Sophos Group PLC
Sophos Group PLC
Current Assignee
Sophos Group PLC
Sophos Group PLC
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10972485
Date of Patent
April 6, 2021
Patent Application Number
16129143
Date Filed
September 12, 2018
Patent Citations
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US Patent 10284587 Systems and methods for responding to electronic security incidents
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US Patent 10181034 Virtual machine security
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US Patent 10333962 Correlating threat information across sources of distributed computing systems
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US Patent 10581886 Computer system anomaly detection
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US Patent 10075462 System and user context in enterprise threat detection
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US Patent 10122687 Firewall techniques for colored objects on endpoints
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US Patent 10122753 Using reputation to avoid false malware detections
Patent Citations Received
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US Patent 12130923 Methods and apparatus for augmenting training data using large language models
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US Patent 11552969 Threat detection platforms for detecting, characterizing, and remediating email-based threats in real time
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US Patent 12081522 Discovering email account compromise through assessments of digital activities
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US Patent 12079757 Endpoint with remotely programmable data recorder
0
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US Patent 11477235 Approaches to creating, managing, and applying a federated database to establish risk posed by third parties
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US Patent 11252189 Abuse mailbox for facilitating discovery, investigation, and analysis of email-based threats
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US Patent 11663303 Multichannel threat detection for protecting against account compromise
0
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US Patent 11687648 Deriving and surfacing insights regarding security threats
0
...
Patent Primary Examiner
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Oleg Korsak
Patent abstract

In a threat management platform, a number of endpoints log events in an event data recorder. A local agent filters this data and feeds a filtered data stream to a central threat management facility. The central threat management facility can locally or globally tune filtering by local agents based on the current data stream, and can query local event data recorders for additional information where necessary or helpful in threat detection or forensic analysis. The central threat management facility also stores and deploys a number of security tools such as a web-based user interface supported by machine learning models to identify potential threats requiring human intervention and other models to provide human-readable context for evaluating potential threats.

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