-
公开(公告)号：US20220321586A1
公开(公告)日：2022-10-06
申请号：US17222440
申请日：2021-04-05
Applicant: BANK OF AMERICA CORPORATION
Inventor： Scott Anderson Sims , Jeffrey Brian Bashore , Michael Joseph Carroll , Christopher J. Cooley , Andrew DongHo Kim , Pavan Kumar Reddy Kotlo , Randy J. Nelson , Jennifer Quillen , Lizabeth Rosenberg , Dharmender Kumar Satija , James F. Stevens , Craig Douglas Widmann
IPC: H04L29/06
Abstract: Embodiments of the present invention provide an innovative system, method, and computer program product for automated device activity analysis in both a forward and reverse fashion. A collaborative system for receiving data and continuously analyzing the data to determine emerging patterns associated with particular user devices is provided. The system is also designed to generate a historical query of user device touch points or interaction points with entity systems across multiple data vectors, and generate system alerts as patterns or potential issues are identified. Common characteristics of data may be used to detect patterns that are broadened in scope and used in a generative neural network approach.
-
公开(公告)号：US20220286476A1
公开(公告)日：2022-09-08
申请号：US17191377
申请日：2021-03-03
Applicant: BANK OF AMERICA CORPORATION
Inventor： Michael Joseph Carroll , Jeffrey Brian Bashore , Joel Filliben , Andrew DongHo Kim , Akhilendra Reddy Kotha , Pavan Kumar Reddy Kotlo , Ronnie Joe Morris, JR. , Dharmender Kumar Satija , Michael Shih , Scott Anderson Sims , Craig D. Widmann
IPC: H04L29/06
Abstract: Embodiments of the invention are directed to a system, method, or computer program product for cross-channel network security with tiered adaptive mitigation operations. In this regard, the invention is structured for dynamic detection of security events associated with network devices and resources, and triggering real-time mitigation operations across a plurality of resource channels. The invention provides a novel method for employing activity data to construct and implement mitigation actions for de-escalating authorization tiers that are adapted to the specific attributes of the activity data, in order to prevent security exposure associated with the activity. Another aspect of the invention is directed to determining whether to continue the tiered adaptive mitigation actions and/or trigger a security proceed signal.
-
公开(公告)号：US11962617B2
公开(公告)日：2024-04-16
申请号：US17191377
申请日：2021-03-03
Applicant: BANK OF AMERICA CORPORATION
Inventor： Michael Joseph Carroll , Jeffrey Brian Bashore , Joel Filliben , Andrew DongHo Kim , Akhilendra Reddy Kotha , Pavan Kumar Reddy Kotlo , Ronnie Joe Morris, Jr. , Dharmender Kumar Satija , Michael Shih , Scott Anderson Sims , Craig D. Widmann
CPC classification number: H04L63/1466 , H04L63/105 , H04L63/1416 , H04L63/1425 , H04L63/20
Abstract: Embodiments of the invention are directed to a system, method, or computer program product for cross-channel network security with tiered adaptive mitigation operations. In this regard, the invention is structured for dynamic detection of security events associated with network devices and resources, and triggering real-time mitigation operations across a plurality of resource channels. The invention provides a novel method for employing activity data to construct and implement mitigation actions for de-escalating authorization tiers that are adapted to the specific attributes of the activity data, in order to prevent security exposure associated with the activity. Another aspect of the invention is directed to determining whether to continue the tiered adaptive mitigation actions and/or trigger a security proceed signal.
-
公开(公告)号：US11895133B2
公开(公告)日：2024-02-06
申请号：US17222440
申请日：2021-04-05
Applicant: BANK OF AMERICA CORPORATION
Inventor： Scott Anderson Sims , Jeffrey Brian Bashore , Michael Joseph Carroll , Christopher J. Cooley , Andrew DongHo Kim , Pavan Kumar Reddy Kotlo , Randy J. Nelson , Jennifer Quillen , Lizabeth Rosenberg , Dharmender Kumar Satija , James F. Stevens , Craig Douglas Widmann
CPC classification number: H04L63/1425
Abstract: Embodiments of the present invention provide an innovative system, method, and computer program product for automated device activity analysis in both a forward and reverse fashion. A collaborative system for receiving data and continuously analyzing the data to determine emerging patterns associated with particular user devices is provided. The system is also designed to generate a historical query of user device touch points or interaction points with entity systems across multiple data vectors, and generate system alerts as patterns or potential issues are identified. Common characteristics of data may be used to detect patterns that are broadened in scope and used in a generative neural network approach.
-
-
-
Search Results
4
records
(took 0.013 seconds)
