Bank of America Corporation

James J Siekman

Marcus Raphael Matos

Mark Alan Odiorne

Patricia Ann Albritton

Mohamed Faris Khaleeli

Aubrey Breon Farrar, Sr

Sheila Page

Richard Scot

Sanjay Arjun Lohar

Tomas Mata Castrejon, Iii

Benjamin F Tweel

Michael Robert Young

Neal Aaron Slensker

Maharaj Mukherjee

George Albero

Elizabeth Votaw

Gilbert M Gatchalian

Christopher Daniel Birch

Jack Lawson Bishop, Iii

Olga Kocharyan

Daniel Joseph Serna

Vijaya L Vemireddy

Dustin Paul Stocks

Jake Michael Yara

Kyle A Mayers

Erik Dahl

Dinesh Kumar Agrawal

Nathan Alexander Dalpini

Karen E Davis

Steven Nathan Greene

Rebecca Lynn Pietro

Jennifer T Renckert

John Raymond Omernik

Robert Cain Durbin, Jr

Jeffrey Kyle Johnson

Frank J Yanan

Shannon Sabina Rolinger

Basil C Doyle

Lisa Snow Pugh

Nicholas Stephen Rose

Sheng Tang Hsiang

Connor Thomas McCormick

Charlene Moss Gorter

Marabella Youkhaneh White

Pamela Elizabeth Barnes

Anna Maria Mirarchi

Anna Xu

Samantha Ilse Quales

A system for implementing token-based authentication of text messages comprises an entity server in communication with a token server. The entity server sends a first message to the token server to request for a security token. The first message includes entity and user information with a reason for generating the security token. The token server generates the security token and sends it to the entity server. The token server stores the security token and associated data in a memory of the token server. The entity server sends a second message and the security token to a user device. The token server receives the second message and the security token from the user device for verification, and determines that the security token associated with the second message matches the stored data in the memory. The token server sends a validation message to the user device that the second message is authenticated.

System and method for implementing token-based authentication of text messages

The present invention encompasses systems, computer program products, and methods for machine interpretation of security data. It identifies various data sources providing metrics and parameters, which include system logs, network traffic data, user activity records, and application logs. The system retrieves these metrics and parameters through an application programming interface and transforms them from unstructured to structured data. This structured data is then featured and stored. A dynamic consolidated matrix, known as the Constraint Specification Matrix (CSM), is generated from these features. A machine learning model is trained to discern correlations and patterns within the CSM's features. Lastly, the system transmits instructions to present these correlations and patterns via a user interface on a user device, allowing for user-friendly visualization and interpretation of the analyzed security data.

Systems and methods for machine interpretation of security data via dynamic constraint specification matrix

A method for analyzing messages for malicious content is provided. The method includes intercepting a message comprising a quick response (QR) code or a uniform resource locator (URL). The QR code corresponds to the URL. A status of the message is determined by determining a source of the message. The source of the message is compared to known malicious sources. In response to the source of the message not matching any of the known malicious sources, the source of the message is compared to known safe sources. In response to the source of the message not matching any of the known safe sources, the URL is compared to known malicious URLs. In response to the URL matching a respective one of the known malicious URLs, the status of the message is determined as malicious. The message is released to be displayed along with the status.

Analyzing messages for malicious content using a cloud computing system

A system is provided for authentication of resource transfers using tokenization as indicator of authorized resource distribution. In particular, the system may be configured to generate a secure transferor token on a distributed register, where each transferor token may be associated with a resource transferor within a virtual environment. The transferor token may be digitally signed using a transferor private key such that the transferor may be authenticated by entities using the corresponding public key. The system may further generate a secure token associated with the resource to be transferred, where the token associated with the resource may specify a list of authorized transferors as one of its parameters. Accordingly, the system may ensure that resources are transferred by authorized transferors.

System and method for authentication of resource transfers using tokenization as indicator of authorized resource distribution

A device for performing a secured operation is disclosed. The device is embedded with a predefined data item and verification information. The verification information is uniquely associated with the user of the device. The verification information is linked to the identity of the user. The verification information is configured to be extracted in conjunction with the secured operation being performed. The secured operation is performed in response to the verification information being verified. A system and method for performing the secured operation are also disclosed.

System, device, and method for performing secured operations

Arrangements for detecting unauthorized activity based on input method analysis and monitoring are provided. In some aspects, identity information associated with a user may be received and be stored. An input may be received from a computing device of the user. An input pattern of the received input may be determined. Using a machine learning model, the input pattern of the received input may be compared to input patterns of humans and input patterns of machines. Based on the comparison, it may be determined whether the user is a human user or a non-human user. Responsive to determining that the user is a non-human user, a request may be transmitted to the user to provide increased authentication credentials. Responsive to determining that the user is a human user, an identity of the user may be verified by comparing the input pattern of the received input to the stored identity information.

Unauthorized activity detection based on input analysis and monitoring

Systems, computer program products, and methods are described herein for tracking resources using non-fungible tokens. The present invention is configured to receive a request for a non-fungible token (NFT) for a resource, wherein the resource is a physical object; initiate a non-fungible token (NFT) generator on the resource; generate a unique digital signature for the resource by generating a scanned image of the resource and identifying one or more features of the resource from the image; generate an NFT comprising a unique digital signature for the resource; determine a physical condition of the resource; store the physical condition of the resource in a first metadata layer associated with the NFT; and record the NFT for the resource on a distributed ledger.

System for tracking resources using non-fungible tokens

Methods for automating a submission of a compliance filing from an organization to a regulatory authority. Methods may include enhancing compatibility of a document submitted by an entity to an organization with the latter's database to facilitate automated submission of a compliance document. Methods may include receiving a populated document in a first format from the entity, using a processor to digitize the document into a digital format, such as bytes, and further into a second format, where the first format may not be compatible with the database and the second format may be compatible with the database. Methods may include updating the database with data from the document. Methods may include using the processor to run a statistical model to determine an appropriate compliance filing relating to change in information about the entity, to populate the compliance filing, and to submit the completed compliance filing with the regulatory authority.

Agnostic image digitizer to automate compliance filings

Methods for enhancing compatibility of a document of an entity with an organization's database on a computer server to facilitate detection of a fraudulent submission. Methods may include receiving a populated document in a first format from the entity, using a processor to digitize the document into a digital format, such as bytes, and further into a second format, where the first format may not be compatible with the database and the second format may be compatible with the database. Methods may include using the processor, optionally running a statistical model, to determine an entity identifier, a predicted value of a data field in the document, and whether there is a difference between the value in the predicted data field and a corresponding value in the populated document. Methods may include implementing a corrective action, such as raising a fraud alert at the organization, when there is a difference.

Agnostic image digitizer to detect fraud

A device configured to receive a data transfer initiation request from a first user and to identify a user profile that is associated with a first user identifier for the first user. The device is further configured to obtain an account number and a routing number for the first user from the user profile. The device is further configured to obtain routing instructions for a service provider based on a service provider identifier. The device is further configured to generate a data transfer request that includes the account number for the first user, the routing number for the first user, a second user identifier for a second user, a data type identifier, and a data transfer type identifier. The device is further configured to send the data transfer request to the service provider in accordance with the routing instructions for the service provider.

Secure data transfer request routing for peer-to-peer services

Systems, computer program products, and methods are described herein for analyzing micro-anomalies in anonymized electronic data. The present disclosure is configured to import or retrieve a first data set, process the first data set to develop at least one event-outcome projection, define an outcome projection data set, import or receive a monitored user data set, anonymize the monitored user data set, define an avatar data set process the avatar data set, wherein the steps of import or receive a monitored user data set, anonymize the monitored user data set, and define an avatar data set are repeated one or more times.

System and method for analyzing micro-anomalies in anonymized electronic data

Systems, methods, and computer program products are provided for detecting a synthetic identity. The method includes receiving an identity verification request relating to an individual. The identity verification request includes one or more individual identifiers of the individual. The method also includes comparing at least one of the one or more individual identifiers to one or more known synthetic indicators. The one or more known synthetic indicators including at least one of a synthetic identifier type or a synthetic identifier value that correspond to one or more known synthetic identities. The method further includes determining a synthetic identity determination based on the comparison of the at least one of the one or more individual identifiers to the one or more known synthetic indicators. The synthetic identity determination indicates whether an identity verification request is a potential synthetic identity.

Systems and methods for detection of synthetic identity malfeasance

Systems, computer program products, and methods are described herein for anomaly recognition in network topologies using interactive visualization. The present disclosure is configured to determine that an end-point device is associated with anomalous activity; capture, using a virtual reality application installed on a user input device, real-time network traffic associated with the end-point device; isolate, using the virtual reality application, network traffic associated with the anomalous activity; initiate spatial and temporal traffic analysis on the anomalous activity; determine a remedial action based on the spatial and temporal traffic analysis to mitigate effects of the anomalous activity; and implement the remedial action on the end-point device.

System for enhanced anomaly recognition in network topologies using interactive visualization

Arrangements for comprehensive threat mitigation are provided. In some aspects, an indication of threat or potential threat may be received from an external entity. In some examples, the threat may include a cybersecurity threat. In response to receiving the indication of threat, identifying data associated with the external entity may be extracted from the indication and used to retrieve pre-stored customizations associated with the desired mitigating actions of the external entity. The one or more mitigating actions may be identified and instructions to execute the one or more mitigating actions may be generated and transmitted to one or more computing devices for execution.

Multi-computer system for comprehensive threat detection and mitigation

Apparatus and methods for integrating data from multiple computer-based communication platforms and dynamically adjusting search results for search queries received from each of the computer-based communication platforms in response to unique security settings is provided. The methods may include a system. The system may include a centralized database for receive indicators of concern ('IOCs') from the communication platforms and tag each IOC with an identifier associated with a communication platform from which the IOC was received. The system may also include an API for modifying search queries received from the communication platforms and applying the modified search queries to the centralized database. The system may further include a dynamic filter for dynamically adjusting search results based at least in part on an originator of a search query.

Data store with dynamic filtering for increased accessibility and enhanced security

Growing community of inventors

Charlotte, NC, United States of America

James J Siekman