SYSTEM FOR DYNAMIC NODE ANALYSIS FOR NETWORK SECURITY RESPONSE

    公开(公告)号:US20230179614A1

    公开(公告)日:2023-06-08

    申请号:US17542973

    申请日:2021-12-06

    Abstract: Systems, computer program products, and methods are described herein for dynamic node analysis for network security response. The present invention is configured to detect, using a node analysis engine, a change in a network security protocol associated with a first node within a distributed network; extract information associated with the change in the network security protocol associated with the first node; identify one or more adjacent nodes with a first degree of separation from the first node in response to detecting the change; determine a first set of changes to the network security protocols for the one or more adjacent nodes based on at least the information associated with the change in the network security protocol of the first node; and automatically implement the first set of changes to the network security protocols of the one or more adjacent nodes with the first degree of separation from the first node.

    Cognitve Automation-Based Engine to Propagate Data Across Systems

    公开(公告)号:US20230049779A1

    公开(公告)日:2023-02-16

    申请号:US17975064

    申请日:2022-10-27

    Abstract: Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

    Hybrid graph and relational database architecture

    公开(公告)号:US11334626B1

    公开(公告)日:2022-05-17

    申请号:US17086535

    申请日:2020-11-02

    Abstract: Aspects of the disclosure relate to searching a dual database graph. The dual database graph is resident on a dual database graph platform. The platform includes two or more nodes interconnected by one or more edges. The graph database stores graph data corresponding to the graph(s) and a relational database for storing metadata corresponding to the graph(s). The method includes receiving as input a search criterion. The search criterion may include a plurality of data points corresponding to a relational database node profile or a relational database subgraph profile. The platform may search the relational database for a subset of graphs that each includes a relational database node or a relational database subgraph that matches the node profile or subgraph profile of the search criterion. The platform may then retrieve a relational database node or a relational database subgraph that matches the node profile or subgraph profile.

    HYBRID GRAPH AND RELATIONAL DATABASE ARCHITECTURE

    公开(公告)号:US20220138261A1

    公开(公告)日:2022-05-05

    申请号:US17086535

    申请日:2020-11-02

    Abstract: Aspects of the disclosure relate to searching a dual database graph. The dual database graph is resident on a dual database graph platform. The platform includes two or more nodes interconnected by one or more edges. The graph database stores graph data corresponding to the graph(s) and a relational database for storing metadata corresponding to the graph(s). The method includes receiving as input a search criterion. The search criterion may include a plurality of data points corresponding to a relational database node profile or a relational database subgraph profile. The platform may search the relational database for a subset of graphs that each includes a relational database node or a relational database subgraph that matches the node profile or subgraph profile of the search criterion. The platform may then retrieve a relational database node or a relational database subgraph that matches the node profile or subgraph profile.

    Cognitive automation-based engine to propagate data across systems

    公开(公告)号:US11252249B2

    公开(公告)日:2022-02-15

    申请号:US17087833

    申请日:2020-11-03

    Abstract: Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

    Cognitve Automation-based engine to propagate data across systems

    公开(公告)号:US20210281655A1

    公开(公告)日:2021-09-09

    申请号:US17087833

    申请日:2020-11-03

    Abstract: Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

    JUST SHORT OF IDENTITY ANALYSIS
    60.
    发明申请

    公开(公告)号:US20210226968A1

    公开(公告)日:2021-07-22

    申请号:US16745507

    申请日:2020-01-17

    Abstract: A method for analyzing communications on the internet to identify a probability of an occurrence of an anomalous event relating to a pre-determined entity is provided. The method may include searching on the internet, to identify communications comprising negative sentiment associated with the pre-determined entity. When identified, the method may include further searching for communications including data regarding a physical location and an intended action, both being associated with the pre-determined entity. When one or more instances of these communications are identified, the method may include activating smart sensors embedded within proximity to the identified physical location to capture non-identifiable data and transmit the captured data to a data analysis engine to identify and confirm a probability of the occurrence of the anomalous event.

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