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US Patent 11924238 Cyber threat defense system, components, and a method for using artificial intelligence models trained on a normal pattern of life for systems with unusual data sources

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Darktrace
Darktrace
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119242380
Patent Inventor Names
Simon David Lincoln Fellows0
Date of Patent
March 5, 2024
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Patent Application Number
169418840
Date Filed
July 29, 2020
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Patent Citations
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US Patent 7890869 Network security visualization methods, apparatus and graphical user interfaces
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US Patent 6965968 Policy-based caching
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US Patent 7307999 Systems and methods that identify normal traffic during network attacks
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US Patent 7418731 Method and system for caching at secure gateways
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US Patent 7448084 System and methods for detecting intrusions in a computer system by monitoring operating system registry accesses
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US Patent 9712548 Privileged analytics system
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US Patent 9727723 Recommendation system based approach in reducing false positives in anomaly detection
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US Patent 10050987 Real-time anomaly detection in a network using state transitions
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...
Patent Primary Examiner
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Roderick Tolentino
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CPC Code
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H04L 2463/144
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H04L 63/1416
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G06F 21/55
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G06N 20/10
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H04L 63/1425
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H04L 63/1433
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Patent abstract

A cyber-defense appliance securely communicates and cooperates with a suite of different lightweight probes that can ingest onboard traffic from multiple different independent systems using protocols for at least one of a data link layer, a physical layer, and then one or more of an application layer, a transport layer, a network layer, and any combination of these layers when a protocol is used in that layer in the independent system. The lightweight probe ingests data and meta data with an independent system it resides within. The appliance has AI models to model a normal pattern of life in each of the independent systems using the data and/or meta data from protocols listed above. An analyzer module cooperates with the AI models that model a normal pattern of life in each of the independent systems to determine when abnormal behavior or suspicious activity is detected.

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