Bank of America Corporation

Dustin Paul Stocks

George Albero

Jinna Zevulun Kim

Edward Lee Traywick

Jake Michael Yara

Jon Codispoti

Matthew K Bryant

Sanjay Arjun Lohar

Kyle A Mayers

Colin Murphy

Maharaj Mukherjee

Michael Robert Young

Pratap Dande

Olga Kocharyan

James J Siekman

Robert Nyeland Huggins

Karen E Davis

Ramkumar Korlepara

Eric Eugene Sifford

Matthew Bruce Murray

David Aloysius Cuka

Garrett Thomas Botkin

Lisa Snow Pugh

Ariel Fontaine Hill

Samantha Ilse Quales

Anna Xu

Anna Maria Mirarchi

Ashley L Jones

Viswanathan Venkatasubramanian

Kayla Ashley Rux

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

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

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

A system is provided for monitoring real-time data inputs across multiple channels, determining potential impacts to a network or entity policy taxonomy, and taking one or more automated, responsive actions based on determined impacts. In this way, the system described herein is able to optimize system processes and system protections on an enterprise-wide scale in response to current events, policy or regulation changes, or predicted measures taken by private or public entities that may necessitate adaptation of one or more workflow processes or technology taxonomies, either upstream or downstream of the system itself.

Event based network micro-segmentation modeling for user authenticated access to distributed network system segments

Arrangements for providing software vulnerability analysis and monitoring are provided. In some aspects, software bill of materials (SBOM) data may be received and software attributes may be extracted from the SBOM data. Author data may be received and analyzed using natural language processing and/or machine learning to identify author attributes. Current event or vulnerability data may be received. In some examples, one or more machine learning models may be executed to determine a confidence score associated with the software being analyzed. For instance, software attributes, author attributes, and current event data may be used as inputs in the machine learning model and a confidence score may be output. Based on the confidence score, one or more alerts may be generated and transmitted to one or more enterprise organization computing devices.

Multi-computer system for performing vulnerability analysis and alert generation

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

Aspects of the disclosure relate to mitigation and detection of steganographic modifications embedded in images. A computing platform may receive an image embedded with steganographic modifications. The computing platform may change or modify any number of bits of one or more color components of one or more pixels of an image, rendering the steganographic modifications ineffective. The computing platform may cause at an isolation zone system, execution of an image, including steganographic modifications, to identify images embedded with steganographic modifications. The computing platform may also compare an image with image stored in an image storage module. The computing platform may store an image from the image storage module with a highest visual comparison score rather than the image.

Steganographic modification detection and mitigation for enhanced enterprise security

A system is provided including a host processor, a plurality of service processors, a universal processor associated with the host processor and capable of exchanging data with each service processor, a first user device of the first user and a second user device of a second user. The universal processor receives a request from the first user device for a data transaction between the host processor and a service processor, and in response generates a code that can be interpreted by the service processor. Universal processor transmits the code to the first user device, which transmits the code to the second user device. The second user device transmits the code to the service processor. The service processor decodes the code and requests the universal processor to perform the data transaction with the host processor. In response, the universal processor sets up the data transaction.

Data processing transactions between disparate systems using a universal processor

Aspects of the disclosure relate to data feed meta detail categorization for confidence. A computing platform may retrieve source data from a source system and identify a first set of patterns associated with the source data. The computing platform may retrieve, from a target system, partially transferred data associated with an ongoing data transfer from the source to the target system and identify a second set of patterns associated with the partially transferred data. The computing platform may evaluate integrity of the partially transferred data by comparing the first set of patterns with the second set of patterns. The computing platform may detect whether the first set of patterns falls within an expected deviation from the second set of patterns based on the comparison and halt the ongoing data transfer based on detecting that the first set of patterns falls outside the expected deviation from the second set of patterns.

Data feed meta detail categorization for confidence

Aspects of the disclosure relate to data feed meta detail categorization for confidence. A computing platform may retrieve source data from a source system and identify a first set of patterns associated with the source data. The computing platform may retrieve, from a target system, transferred data associated with a data transfer from the source system to the target system and identify a second set of patterns associated with transferred data. The computing platform may evaluate integrity of the transferred data by comparing the first set of patterns with the second set of patterns. The computing platform may detect whether the first set of patterns falls within an expected deviation from the second set of patterns based on the comparison. The computing platform may send one or more notifications based on detecting that the first set of patterns falls outside the expected deviation from the second set of patterns.

A mobile communication device leash is provided which communicates via short-range-wireless communication (e.g., Near-Field Communication (NFC), BLUETOOTH®, ZIGBEE® or the like) with an associated mobile communication device. Once the mobile communication device is outside of the short-range wireless communication range (or outside of a predetermined range within the short-range wireless communication range) an action is triggered to control access to the mobile communication device itself and/or access functionality provided by the mobile communication device. The leash may be a simplistic wireless device, such as a wristband, card device or smart tag device having the sole function of controlling access to the mobile communication device itself (e.g., shutdown or locking the device) and/or access functionality provided by the mobile communication device (e.g., locking certain application or limiting access to data within certain applications).

Short-range wireless-enabled mobile communication device leash for controlling device and application access

Providing an isolation system that allows analysts to analyze suspicious information in way that aids in preventing harmful information from spreading to other applications and systems on a network. A plurality of virtual containers may be used by analysts to analyze the suspicious information. The analyst may utilize a non-native application to analyze the suspicious information within the virtual container. The non-native application may be used to analyze the suspicious information in an analysis format instead of an original format for which the suspicious information, and any harmful information therein, were intended to be accessed. Additionally, the virtual containers may be accessed through the use of an API that allows an analyst to analyze the suspicious information in the virtual container without transferring information from the virtual container back to the analyst user computer system.

Application interface based system for isolated access and analysis of suspicious code in a computing environment

Providing an isolation system that allows analysts to analyze suspicious information in way that aids in preventing any harmful information from spreading to other applications and systems on a network. The isolation systems are physically and/or logically separated from other systems on the network. A plurality of virtual containers, which may be disposable and specific to each analyst, may be utilized to analyze the suspicious information within the isolation systems. Should a virtual container be infected with harmful information it may be discarded a new virtual container may be used to review the suspicious information. A non-native application may be used to transform the format of the suspicious information into a non-native format in order to aid preventing the harmful information from infecting the other systems on the network.

System for isolated access and analysis of suspicious code in a computing environment

Providing an isolation system that allows analysts to analyze suspicious information in a way that aids in preventing harmful information from spreading to other applications and systems on a network. A plurality of virtual containers may be used by analysts to analyze suspicious information. The analyst may set the virtual environment configurations (e.g., applications, programs, settings, etc.) of the virtual container. The analyst may determine how the suspicious information effects the virtual environment configuration and/or use tools to analyze the suspicious information. When harmful information is identified the virtual container may be discarded (e.g., folded up and deleted), and a new virtual container may be provided to the analyst to continue to analyze the suspicious information and/or new suspicious information.

System for isolated access and analysis of suspicious code in a disposable computing environment

Providing an isolation system that allows analysts to analyze suspicious information in way that aids in preventing harmful information from spreading to other applications and systems on a network. A plurality of virtual containers may be used by analysts to analyze suspicious information. The suspicious information may first be checked for signatures or patterns before being analyzed by the analyst or the isolation system. The identified signatures or patterns are then compared with the stored signatures or patterns to determine whether the suspicious information comprises harmful information or not. When the identified signatures or patterns are matched with stored signatures or patterns, the system may determine that the suspicious information comprises harmful information and performs one or more mitigation actions.

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Stallings, NC, United States of America

Dustin Paul Stocks