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US Patent 11496505 Detection and prevention of external fraud

Patent 11496505 was granted and assigned to Abnormal Security on November, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Abnormal Security
Abnormal Security
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Current Assignee
Abnormal Security
Abnormal Security
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
114965050
Patent Inventor Names
Yu Zhou Lee0
Jeshua Alexis Bratman0
Lawrence Stockton Moore0
Lei Xu0
Sanjay Jeyakumar0
Date of Patent
November 8, 2022
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Patent Application Number
174911840
Date Filed
September 30, 2021
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Patent Citations
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US Patent 10250624 Method and device for robust detection, analytics, and filtering of data/information exchange with connected user devices in a gateway-connected user-space
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US Patent 10277628 Detecting phishing attempts
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US Patent 10362057 Enterprise DNS analysis
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US Patent 10397272 Systems and methods of detecting email-based attacks through machine learning
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US Patent 10419468 Cyber security system with adaptive machine learning features
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US Patent 10601865 Detection of credential spearphishing attacks using email analysis
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US Patent 10616272 Dynamically detecting abnormalities in otherwise legitimate emails containing uniform resource locators (URLs)
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US Patent 10673880 Anomaly detection to identify security threats
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Patent Primary Examiner
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Evans Desrosiers
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CPC Code
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H04L 63/1433
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H04L 51/08
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H04L 51/12
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H04L 63/0236
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H04L 63/0245
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H04L 63/126
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H04L 63/145
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Techniques for detecting instances of external fraud by monitoring digital activities that are performed with accounts associated with an enterprise are disclosed. In one example, a threat detection platform determines the likelihood that an incoming email is indicative of external fraud based on the context and content of the incoming email. To understand the risk posed by an incoming email, the threat detection platform may seek to determine not only whether the sender normally communicates with the recipient, but also whether the topic is one normally discussed by the sender and recipient. In this way, the threat detection platform can establish whether the incoming email deviates from past emails exchanged between the sender and recipient.

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