Bank of America Corporation

Jake Michael Yara

George Albero

Edward Lee Traywick

Scot Lincoln Daniels

Rick Wayne Sumrall

Konata Stinson

Emanuel David Guller

Elijah Clark

Jack Lawson Bishop, Iii

Daniel Joseph Serna

Dustin Paul Stocks

Benjamin F Tweel

Robert Cain Durbin, Jr

Marcus Raphael Matos

James J Siekman

Carrie Elaine Gates

Jennifer T Renckert

Jeffrey Kyle Johnson

Frank J Yanan

Srinivasulu Kummari

Ariel Fontaine Hill

Jon A Hamm

Sheng Tang Hsiang

Automatically and covertly activating audio/video mechanisms within a mobile communication device when a user is confronted with a duress-inducing event or a situation based on receipt of a duress indicator. The duress indicator is a subtle user input, such as a personal gesture, personal audible code or device input that triggers the covert activation of audio/video recording mechanisms on a mobile communication device. As a result, audio and/or video data of a duress-inducing event can be captured absent other parties to the duress-inducing event being aware that audio/video data is being captured.

Indicator triggered activation of audio/video recording devices within a mobile communication device

Systems, computer program products, and methods are provided for code revision impact analysis. The method includes generating a system map based on data received from a plurality of network devices; receiving a data transmission including a text file; processing the text file via a natural language processing engine, where an output of the natural language processing engine comprises a plurality of expected updates; determining, based on the system map, at least one downstream effect of the plurality of expected updates; and performing a remedial action.

Natural language processing engine for component level data mapping and code revision impact analysis

Systems, computer program products, and methods are provided for automated detection of source code discrepancies. The method includes receiving a data transmission including a text file and a source code file; processing the source code file via a machine learning engine, where an output of the machine learning engine includes a plurality of identified updates; processing the text file via a natural language processing engine, where an output of the natural language processing engine includes a plurality of expected updates; identifying a difference between the plurality of identified updates and the plurality of expected updates; and performing a remedial action.

Natural language processing engine for automated detection of source code discrepancies

A security feature within an apparatus that includes a fingerprint scanner used for purposes of authentication. Specifically, a first indicator is detected that is a user input to a fingerprint scanner and indicates the occurrence of a duress-inducing event. In response to detecting the first indicator, (i) access to the apparatus is controlled, and (ii) access to functionality provided by the apparatus is controlled. As such, if the user is being forced to input their fingerprint by a nefarious entity desiring access to the apparatus, the present invention provides a means by which the user can covertly activate certain features on the apparatus that prevent the nefarious entity from access to the apparatus and/or functionality provided by the apparatus.

Fingerprint authentication-related indicators for controlling device access and/or functionality

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, computer program products, and methods are described herein for implementing device manipulation for counteracting facial recognition authentication security malfeasance. The present invention is configured to receive a request from a user via a client device to access an authentication subsystem to execute a facial recognition authentication for access to an application; initiate the facial recognition authentication on the client device in response to receiving the request; receive, from the client device, one or more external inputs in response to one or more authentication prompts; determine, using a machine learning subsystem, that at least one of the one or more external inputs is associated with a first preconfigured duress code; trigger, using a breach detection subsystem, a first set of security protocols; and execute, using the breach detection subsystem, a first set of predefined actions associated with the first set of security protocols.

Device manipulation system for counteracting facial recognition authentication security malfeasance

When a system tries to access a network (e.g., another system, an application, data, or the like) at least two-factor authentication may be used to validate the system. At least one authentication factor may include utilizing authentication credentials of the entity or system accessing the network. At least a second authentication factor may include using an environment hash of the system, which is a representation of the configuration (e.g., hardware, software, or the like) on the system trying to access the network. The environment hash may be compared to hash requirements (e.g., authorized environment hashes, unauthorized environment hashes, or the like) to aid in the validation. The system may only access the network when both the authentication credentials and the environment hashes meet requirements.

System for prevention of unauthorized access using authorized environment hash outputs

A virtual environment system for validating executable data using authorized hash outputs is provided. In particular, the system may generate a virtual environment using a virtual environment device, where the virtual environment is logically and/or physically separated from other devices and/or environments within the network. The system may then open a specified set of executable data within the virtual environment and perform a set of commands or processes with respect to the executable data. If the system determines that the executable data is unsafe to run, the system may generate a hash output of the executable data and store the hash output in a database of unauthorized executable data. In this way, the system may securely generate a repository of authorized and unauthorized hashes such that the system may ensure that unsafe executable data is blocked from being processed within a network environment.

System for analysis and authorization for use of executable environment data in a computing system using hash outputs

A system already on a network may be analyzed when the system takes an action or may be periodically reviewed. The analysis of the system may include the creation of an environment hash for the system, which is a representation of the configuration (e.g., hardware, software, or the like) of the system, and a comparison with hash requirements. The hash requirements may be stored authorized hashes, stored unauthorized hashes, past hashes for the same system, hashes for other systems with the same or similar configurations, or the like. When the environment hash of the system meets hash requirements, the system may be allowed to continue to operate on the system or may be allowed to take the action on the network. When the hash of the system fails to meet a hash requirement, the system may be isolated from the network and investigated for a non-compliant configuration.

System for network isolation of affected computing systems using environment hash outputs

A centralized network environment is provided for processing validated executable data based on authorized hash outputs. In particular, the system may generate cryptographic hash outputs of code or software that has been evaluated (e.g., within a virtual environment). The system may then store the hash outputs within a hash database which may be accessible by multiple entity networks, where multiple entities may upload hash output values to and/or retrieve hash output values from the hash database. Based on the data within the hash database, each entity may efficiently identify code that may be safe or unsafe to execute on certain computing systems within its network environment. The system may further comprise an artificial intelligence-powered component which may be configured to detect patterns within code that has been identified by the system as unsafe and provide notifications containing systems likely to be affected and recommended countermeasures.

Centralized network environment for processing validated executable data based on authorized hash outputs

A virtual environment system for validating using accelerated time-based process execution is provided. In particular, the system may generate a virtual environment using a virtual environment device, where the virtual environment is logically and/or physically separated from other devices and/or environments within the network. The system may then open a specified set of executable data within the virtual environment and perform a set of commands or processes with respect to the executable data. The set of commands or processes may be executed on an accelerated-time basis such that processes that would be executed on a longer timeline may be executed at a greater speed (e.g., a shorter timeline). In this way, the system may securely detect the presence of latent defects or issues that may arise from executing the code on a long-term basis.

Virtual environment system for validating executable data using accelerated time-based process execution

A data health management apparatus may include a non-transitory memory and a processor communicatively coupled to the memory. In some cases, the processor may be configured to process instructions read from the memory. For example, the instructions may cause the processor to identify data associated with an application, where the data stored in at least one data repository. The processor may then analyze, the data stored in the at least one data repository, such as via a network, to determine a data health metric. The instructions may then cause the processor to determine an action to be performed on the data repository based on the determined data health metric.

Growing community of inventors

Mint Hill, NC, United States of America

Jake Michael Yara