公开(公告)号：US12113801B2

公开(公告)日：2024-10-08

申请号：US17539400

申请日：2021-12-01

Applicant: BANK OF AMERICA CORPORATION

Inventor： Brandon Sloane ,  Michael Ogrinz ,  Charles Edward Dudley

IPC: H04L9/40

CPC classification number: H04L63/105 ,  H04L63/102 ,  H04L63/123 ,  H04L63/205

Abstract: Systems, methods, and computer program products are provided for monitoring network security in a mesh network. An example method includes receiving trust of service information relating to a user. The trust of service information includes one or more security details associated with at least one of a user device or a user network associated with the user. The method also includes determining a security level of a session involving the user based on the trust of service information relating to the user. The method further includes determining a security protocol for the session based on the determined security level. The security protocol determines at least one of a user access level or an additional security measure. The method still further includes causing an execution of the session based on the security protocol determined.

公开(公告)号：US20230334247A1

公开(公告)日：2023-10-19

申请号：US17722740

申请日：2022-04-18

Applicant: BANK OF AMERICA CORPORATION

Inventor： George Anthony Albero ,  Maharaj Mukherjee ,  Elijah Clark ,  Madhavi Mendu ,  Michael B. Jones, JR. ,  Michael Ogrinz

IPC: G06F40/289 ,  G06F16/31 ,  G06F40/40

CPC classification number: G06F40/289 ,  G06F16/325 ,  G06F40/40

Abstract: A system is provided for machine-learning based identification and filtering of electronic network communication. In particular, the system may continuously monitor and pull electronic communications data from one or more networked computing systems in an enterprise environment. Based on the electronic communications data, the system may use machine learning algorithms to generate a database of associations between one or more users and one or more topics of interest. The system may then output one or more recommendations to one or more users for transmitting communications associated with the one or more topics of interest. In this way, the system may improve the efficiency of communications received and transmitted within a network.

公开(公告)号：US11706311B2

公开(公告)日：2023-07-18

申请号：US17975064

申请日：2022-10-27

Applicant: Bank of America Corporation

Inventor： Michael Ogrinz ,  Christine D. Black ,  Jayachandra Varma ,  Jinna Kim

IPC: H04L67/5651 ,  G06N5/04 ,  G06F8/41 ,  H04L67/01 ,  H04L47/2416 ,  H04L12/70

CPC classification number: H04L67/5651 ,  G06F8/453 ,  G06N5/04 ,  H04L67/01 ,  H04L47/2416 ,  H04L2012/5621

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.

公开(公告)号：US11651080B2

公开(公告)日：2023-05-16

申请号：US16741892

申请日：2020-01-14

Applicant: Bank of America Corporation

Inventor： Maria Carolina Barraza Enciso ,  Michael Ogrinz ,  Elena Kvochko

IPC: G06F21/57 ,  G06N3/02 ,  G06N20/00 ,  G06F40/284

CPC classification number: G06F21/577 ,  G06F40/284 ,  G06N3/02 ,  G06N20/00

Abstract: Systems and methods for implementing sentiment analysis of computer code are provided. Developers who write source code may include comments or other natural language artifacts in the source code. These artifacts may be illustrative of current or legacy cybersecurity threats. Systems and methods may mine comments, and/or other code artifacts, for the dual purposes of cybersecurity threat detection and mitigation. Advanced code analytics may be leveraged for a deeper understanding of the sentiments expressed by the artifacts. Such sentiment may include negative sentiments expressed in error code selection and/or descriptions. All information retrieved is preferably human identity agnostic in line with personal data regulation compliance.

公开(公告)号：US11316881B2

公开(公告)日：2022-04-26

申请号：US16745507

申请日：2020-01-17

Applicant: Bank of America Corporation

Inventor： Elena Kvochko ,  Maria Carolina Barraza Enciso ,  Michael Ogrinz

IPC: G06F15/16 ,  H04L29/06 ,  G06F16/953

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.

公开(公告)号：US11288679B2

公开(公告)日：2022-03-29

申请号：US16783607

申请日：2020-02-06

Applicant: Bank of America Corporation

Inventor： Amanda J. Adams ,  Joseph N. Johansen ,  Michael Ogrinz ,  Heather Dolan ,  William P. Jacobson ,  Manu J. Kurian

IPC: G06Q40/00 ,  G06Q20/40 ,  G06F3/01 ,  H04L29/06 ,  G06Q20/12 ,  G06Q20/32 ,  H04W12/06

Abstract: A system for authorizing an electronic transaction in an augmented reality environment comprises an augmented reality user device and an authentication server. The augmented reality user device includes a display that overlays virtual objects onto a field of view of the user. The user device receives a request to verify information about a payment card used in an electronic transaction. The request includes a virtual authentication object, which is a virtual representation of an object capable of being manipulated by the user in a particular sequence to enter an authentication code. The user device displays the virtual authentication object to the user and detects gestures performed on the virtual authentication object. The user device sends the detected gestures to the authentication server. The authentication server determines the authentication code using the virtual authentication object and the detected gestures, and uses it to authorize the transaction.

公开(公告)号：US20210390467A1

公开(公告)日：2021-12-16

申请号：US16898034

申请日：2020-06-10

Applicant: BANK OF AMERICA CORPORATION

Inventor： Michael Ogrinz ,  Jasmine Quintana ,  Candhadai Ramaswamy Varadharajan

IPC: G06Q10/06 ,  G06F16/28 ,  G06F16/2457

Abstract: Embodiments of the present invention provide systems and methods for automated and intelligent analysis of information. The system receives interaction data, interaction metadata, and external information in order to identify parties of interactions, subjects of interactions, and infer relationships between parties and subjects based on the content, context, frequency, and amount of available interaction data. Weighted score scores are generated and used to rank the inferred relationships and determined relevance between parties and subjects. This data may be stored in a graphical database and later used to response to user data queries to facilitate collaboration.

公开(公告)号：US20210312360A1

公开(公告)日：2021-10-07

申请号：US16837204

申请日：2020-04-01

Applicant: Bank of America Corporation

Inventor： Jinna Kim ,  Richard S. Scot ,  Elena Kvochko ,  Monika Kapur ,  Michael Ogrinz ,  George Albero

IPC: G06Q10/06 ,  G06Q50/18 ,  G06Q30/00

Abstract: Aspects of the disclosure relate to a cognitive automation based compliance management system. A computing platform may receive, via a network, an alert notification indicative of a change to a legal framework applicable to an enterprise organization. Subsequently, the computing platform may, in response to the alert notification, detect a task that may be impacted by the change. Then, the computing platform may, upon detecting the task, identify at least one task parameter associated with the task. Then, the computing platform may compare the at least one task parameter with the change to determine whether the task is impacted by the change. Subsequently, the computing platform may, upon a determination that the task is impacted by the change, recommend, via the network, one or more actions associated with the task.

公开(公告)号：US20210295223A1

公开(公告)日：2021-09-23

申请号：US16824879

申请日：2020-03-20

Applicant: Bank of America Corporation

Inventor： Ion C. Freeman ,  Maria Carolina Barraza ,  Richard S. Scot ,  Elena Kvochko ,  Monika Kapur ,  Jinna Kim ,  Michael Ogrinz ,  George Albero ,  Siten Sanghvi

IPC: G06Q10/06 ,  G06Q30/02 ,  G06Q30/06 ,  G06Q30/00 ,  G06Q10/10 ,  G06F11/30 ,  G06F11/34 ,  G06F16/245 ,  G06N20/00

Abstract: Aspects of the disclosure relate to a cognitive automation based vendor compliance system. A computing platform may monitor, via an enterprise network, use of a software product hosted by an enterprise computing infrastructure. Subsequently, the computing platform may determine a product usage score, where the product usage score is indicative of a number network devices using the software product. Then, the computing platform may determine, for the software product, a product performance score, where the product performance score is indicative of one or more performance issues associated with the software product. Then, the computing platform may compare, for the software product, at least one of: (1) the product usage score to a product usage threshold, and (2) the product performance score to a product performance threshold. Subsequently, the computing platform may recommend, based on the comparing, one or more actions associated with the software product.

公开(公告)号：US20210216642A1

公开(公告)日：2021-07-15

申请号：US16741892

申请日：2020-01-14

Applicant: Bank of America Corporation

Inventor： Maria Carolina Barraza Enciso ,  Michael Ogrinz ,  Elena Kvochko

IPC: G06F21/57 ,  G06F40/284 ,  G06N3/02 ,  G06N20/00

Abstract: Systems and methods for implementing sentiment analysis of computer code are provided. Developers who write source code may include comments or other natural language artifacts in the source code. These artifacts may be illustrative of current or legacy cybersecurity threats. Systems and methods may mine comments, and/or other code artifacts, for the dual purposes of cybersecurity threat detection and mitigation. Advanced code analytics may be leveraged for a deeper understanding of the sentiments expressed by the artifacts. Such sentiment may include negative sentiments expressed in error code selection and/or descriptions. All information retrieved is preferably human identity agnostic in line with personal data regulation compliance.