Abstract: Apparatus and methods for using deepfakes defensively to detect fake, spoofed, and hoax phone calls and videoconferences are provided. A program may record a target individual reciting exemplary phrases. The program may analyze the recordings to create a baseline. The program may use deepfake algorithms to create exemplar deepfake audiovisual representations of the target individual. The program may store the data in a database. The program may analyze, in real-time, a phone call or videoconference to determine whether they are legitimate or illegitimate by comparing the audio or audiovisual contents of the phone call or videoconference with the exemplar deepfakes. When the program determines the phone call or videoconference is illegitimate, the program may terminate the call or videoconference and inform the recipient and others.

Abstract: Apparatus and methods for using deepfakes defensively to detect fake, spoofed, and hoax accounts and posts on social media and elsewhere are provided. A program may gather verified images or writings of a target individual. The program may analyze the verified images and writings to create a baseline. The program may use deepfake algorithms to create exemplar deepfake images or writings. The program may store the data in a database. The program may search a network for social media accounts or posts that may meet the baseline and determine whether they are legitimate or illegitimate by comparing the contents of the accounts or posts with the exemplar deepfakes. When the program determines the accounts or posts are illegitimate, the program may initiate a takedown of those accounts or posts. The program may use machine learning algorithms to refine itself and become more accurate.

Abstract: A system includes a user device and a computing system. The user device accesses a plurality of images captured by a camera and identifies, from the plurality of images, a particular image that depicts a portion of a user interaction object. The user device transmits the particular image across a wireless communications network. The computing system accesses the particular image depicting the portion of the user interaction object and determines a data item from the particular image. The computing system compares the data item to one or more accounts of the user and sends instructions to the user device to display an alert message on the electronic display based on the comparison of the data item to the one or more accounts.

Abstract: Embodiments of the present invention provide a system for executing audio cryptology in real-time for audio misappropriation prevention. The system is configured for identifying, via a cryptographic device, one or more audio signals, causing the cryptographic device to generate and emit a dynamically varying continuous audio tone, continuously monitoring in real-time the one or more audio signals, via the cryptographic device, determining, via the cryptographic device, termination of the one or more audio signals based on continuously monitoring the one or more audio signals in real-time, and causing the cryptographic device to stop generating and emitting the dynamically varying continuous audio tone.

Abstract: A system includes a user device and a computing system. The user device accesses a plurality of images captured by a camera and identifies, from the plurality of images, a particular image that depicts a portion of a user interaction object. The user device transmits the particular image across a wireless communications network. The computing system accesses the particular image depicting the portion of the user interaction object and determines a data item from the particular image. The computing system compares the data item to one or more accounts of the user and sends instructions to the user device to automatically display an alert message on the electronic display based on the comparison of the data item to the one or more accounts.

Abstract: 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.

Abstract: A system for query processing of a frequency of utility indicators comprises a processor operable to receive a transmission from a first wearable device comprising entity file information associated with a first entity. The processor is operable to generate a file vector comprising one or more files of a digital folder based on an association with one or more utility indicators and determine that one of the files corresponds to a greater number of the one or more utility indicators than the remaining files based, at least in part, on the entity file information. The processor is operable to assign the determined one of the one or more files as a first file within the file vector and send a transmission to the first wearable device comprising the file vector and an indication to utilize the first file in an interaction between the first user and the first entity.

Abstract: 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.

Abstract: A scenario presentation device presents, in an electronic display, selectable for possible activities. The device receives a selection of a first scenario option. The selected first scenario option corresponds to a selected activity that includes an action involving an item to be performed over a period of time. The device determines anticipated changes to the environment over the period of time. Using the anticipated changes to the environment over the period of time, a projected environment representation is determined for the selected activity. The projected environment representation includes one or more images depicting changes to the environment. The projected environment representation is presented in the electronic display.

Abstract: A system for query processing of a frequency of utility indicators comprises a processor operable to receive a transmission from a first wearable device comprising entity file information associated with a first entity. The processor is operable to generate a file vector comprising one or more files of a digital folder based on an association with one or more utility indicators and determine that one of the files corresponds to a greater number of the one or more utility indicators than the remaining files based, at least in part, on the entity file information. The processor is operable to assign the determined one of the one or more files as a first file within the file vector and send a transmission to the first wearable device comprising the file vector and an indication to utilize the first file in an interaction between the first user and the first entity.

Abstract: A system includes a user device and a computing system. The user device accesses a plurality of images captured by a camera and identifies, from the plurality of images, a particular image that depicts a portion of a user interaction object. The user device transmits the particular image across a wireless communications network. The computing system accesses the particular image depicting the portion of the user interaction object and determines a data item from the particular image. The computing system compares the data item to one or more accounts of the user and sends instructions to the user device to automatically display an alert message on the electronic display based on the comparison of the data item to the one or more accounts.

Abstract: Embodiments of the present invention provide a system monitoring and identifying real-time indicators and patterns to predict occurrence of real-time events. The system is configured for continuously gathering and monitoring real-time data from one or more monitoring devices associated with the entity, identifying that at least one user device is within a predetermined distance and automatically transmit a prompt to the user device to connect to a beacon, identifying that at least one user associated with the at least one user device has connected to the beacon, continuously monitoring the at least one user device in real-time, identifying occurrence of a potential real-time event based on continuously monitoring the at least one user device and the real-time data from the one or more monitoring devices, via an artificial intelligence engine.

Abstract: 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.

Abstract: 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. 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. The isolation system automatically performs analysis of the suspicious information in parallel, via an automated intelligent engine to identify presence of harmful information in the suspicious information. In response to identifying the at least harmful information in the suspicious information, the isolation system determines a type of the harmful information and transmits one or more notifications to one or more users based on the type of the harmful information.

Abstract: 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.