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1.发明申请公开(公告)号：US20180375893A1
公开(公告)日：2018-12-27
申请号：US16016061
申请日：2018-06-22
Applicant: Fluency Corp.
Inventor： Christopher Jordan , Kun Luo
Abstract: A method including receiving a record in a first timeframe; establishing a plurality of threat vectors for the record; merging the plurality of threat vectors to the record; generating a risk valuation for the record based on the plurality of threat vectors; merging the risk valuation to the record to form a risk event; and storing the risk event in a computer-readable data store.
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公开(公告)号：US20220327099A1
公开(公告)日：2022-10-13
申请号：US17381304
申请日：2021-07-21
Applicant: Fluency Corp.
Inventor： Christopher Jordan , Kun Luo
Abstract: The disclosure relates generally to a method, device, and system for creating a searchable data store with an infinite retention period for streaming documents. In an embodiment, a method of storing data includes receiving an incoming stream of time-series data; storing the time-series data of the incoming data stream in a first segment; and closing the first segment in response to a resource consumption limit of the first segment being reached.
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Patent Agency Ranking
公开(公告)号：US20220038492A1
公开(公告)日：2022-02-03
申请号：US17500327
申请日：2021-10-13
Applicant: Fluency Corp.
Inventor： Christopher Jordan , Kun Luo
Abstract: A method including receiving a record in a first timeframe; establishing a plurality of threat vectors for the record; merging the plurality of threat vectors to the record; generating a risk valuation for the record based on the plurality of threat vectors; merging the risk valuation to the record to form a risk event; and storing the risk event in a computer-readable data store.
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4.发明公开公开(公告)号：US20240250980A1
公开(公告)日：2024-07-25
申请号：US18590485
申请日：2024-02-28
Applicant: Fluency Corp.
Inventor： Christopher Jordan , Kun Luo
CPC classification number: H04L63/1433 , G06N5/046 , G06N20/00 , H04L41/0631 , H04L63/20 , G06N5/045 , H04L41/16
Abstract: An embodiment is a method including receiving a plurality of event records in a first timeframe, each event record comprising a plurality of attribute-value pairs, grouping the event records by a destination address and a source address to form grouped event records, establishing a plurality of threat vectors for each of the grouped event records based on the attribute-value pairs, merging the plurality of threat vectors with the corresponding grouped event records to form a plurality of risk events, and storing the plurality of risk events in a computer-readable data store.
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公开(公告)号：US11165807B2
公开(公告)日：2021-11-02
申请号：US16016061
申请日：2018-06-22
Applicant: Fluency Corp.
Inventor： Christopher Jordan , Kun Luo
Abstract: A method including receiving a record in a first timeframe; establishing a plurality of threat vectors for the record; merging the plurality of threat vectors to the record; generating a risk valuation for the record based on the plurality of threat vectors; merging the risk valuation to the record to form a risk event; and storing the risk event in a computer-readable data store.
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公开(公告)号：US12079173B2
公开(公告)日：2024-09-03
申请号：US17381304
申请日：2021-07-21
Applicant: Fluency Corp.
Inventor： Christopher Jordan , Kun Luo
CPC classification number: G06F16/1805
Abstract: The disclosure relates generally to a method, device, and system for creating a searchable data store with an infinite retention period for streaming documents. In an embodiment, a method of storing data includes receiving an incoming stream of time-series data; storing the time-series data of the incoming data stream in a first segment; and closing the first segment in response to a resource consumption limit of the first segment being reached.
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公开(公告)号：US11949706B2
公开(公告)日：2024-04-02
申请号：US17500327
申请日：2021-10-13
Applicant: Fluency Corp.
Inventor： Christopher Jordan , Kun Luo
CPC classification number: H04L63/1433 , G06N5/046 , G06N20/00 , H04L41/0631 , H04L63/20 , G06N5/045 , H04L41/16
Abstract: A method including receiving a record in a first timeframe; establishing a plurality of threat vectors for the record; merging the plurality of threat vectors to the record; generating a risk valuation for the record based on the plurality of threat vectors; merging the risk valuation to the record to form a risk event; and storing the risk event in a computer-readable data store.
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