Bank of America Corporation

Ana Maxim

Vinesh Patel

Michael Young

Manu Jacob Kurian

Victoria Lynn Dravneek

Michael Robert Young

Vinesh Young Patel

A system includes a memory and a processor coupled to the memory. The processor receives a first user credential associated with a first user and authorizes a first avatar of the first user to enter a virtual environment. The processor receives a first request from the first user to receive virtual data objects for at least one target entity and, in response, generates a virtual sub-environment within the virtual environment. The processor authorizes a second user to access the virtual sub-environment and receives a set of conditions from the second user relating to how a first set of virtual data objects is to be distributed to the at least one target entity. The processor receives and transfers the first set of virtual data objects to the at least one target entity based on the set of conditions.

Performing data interactions in a virtual environment

A system includes a memory and a processor coupled to the memory. The processor receives a user credential associated with a user and authorizes an avatar of the user to enter a virtual environment. The processor monitors a plurality of data interactions associated with the first user that are performed in the virtual environment, records information relating to a set of parameters that correspond to a first user profile associated with the first user and determines a first confidence indicator for the first user relating to the first user profile. The processor receives a request from a second user for the first confidence indicator, obtains the first confidence indicator and transmits the obtained first confidence indictor to a user device of the second user.

Performing secure data interactions in a virtual environment

Apparatus and methods for an artificial intelligence implemented termination by an auditor artificial intelligence ('aAI') of a malicious artificial intelligence (“mAI”) are provided. The aAI may detect a mAI on a network and determine which data the mAI can access on the network. The aAI may then degrade all or part of the data in various ways to prevent the mAI from producing valid content based on the data. The aAI may also create code and inject the code into the mAI to degrade the mAI's operations. As the mAI may rely on valid data to produce valid output, degrading the data may degrade the mAI.

AI implemented AI termination

Apparatus, methods and systems for continual biometric authentication of a user on a user device is provided. Methods may create, for the user, a biometric authentication reference model. Methods may store the biometric authentication reference model at a database associated with the user device. In response to an instantiation of a session by the user on the user device, methods may execute a continual biometric scan. The scanning may be executed until the session is terminated. Methods may identify a number of comparison points between the scanned and stored biometric identifiers. In response to determining that the number of identified comparison points is below a predetermined threshold number of comparison points, methods may initiate a passcode request. The passcode request may request a confirmation of a preset user-selected passcode. In response to determining that the passcode response does not match the preset user-selected passcode, methods may terminate the session.

Continual biometric authentication

Systems and Method are provided for an Anti-Pattern Captcha. Methods may include AI software receiving a request from a user to access a system or website, the request comprising user credentials. Methods may include the AI software identifying a human user associated with the user credentials. Methods may include the AI software compiling data related to a plurality of unique behavior patterns associated with the human user when interacting online. Methods may include the AI software analyzing the compiled data to establish the unique behavior patterns. Methods may include the AI software presenting a challenge to the user. Methods may include the AI software verifying that the user is the human user upon a response to the challenge that deviates from at least one of the unique behavior patterns. Methods may include the AI software prompting the user to interact with the system or website upon verification.

Anti-pattern captcha

Artificial intelligence (AI) impersonation detection using an AI model is provided. Methods may train an AI model. The training may provide the AI model with a first dataset including a communication between two or more human users, a second and third dataset including an impersonation of the communication by a public AI model and a private AI model respectively. Methods may identify a first identifier set in the first dataset, a second identifier set in the second dataset and a third identifier set in the third dataset. Methods may create a parameter range for the first, second and third identifier set. The methods may include monitoring a production communication using the AI model. The AI model may compare the production communication with the parameter ranges. Methods may identify a smallest comparison value. Methods may, based on the identified smallest comparison value, identify the origin of the production communication.

Artificial intelligence impersonation detector

Systems and methods for an artificial intelligence-based auditor of artificial intelligence may be provided. The artificial-intelligence-based auditor may operate on one or more hardware processors. The artificial intelligence-based auditor may continually scan one or more operating artificial intelligence systems for productivity and operability. The scan may identify a data source powering the one or more operating artificial intelligence systems. The scan may measure a delta between an output from each of the one or more operating artificial intelligence systems. The scan may identify trends in quality of the one or more operating artificial intelligence systems. The scan may analyze instances where the one or more operating artificial intelligence systems outputted data outside of a parameter range. Based on the scan, the auditor may label each of the one or more operating artificial intelligence systems as positive, neutral or negative.

Artificial intelligence-based auditors of artificial intelligence

Systems, computer program products, and methods are described herein for token thread authentication system for physical space access. The present invention is configured to extract and organize collected NFTs and tokens within a first plurality of threads in accordance with a set of chronological and authenticating parameters. The present invention is structured to interact with an entity network system to receive authenticating requirements, query stored tokens, and present a token thread for achieving authentication. The system is structured to verify the token thread authentication and to grant access to a location to a requesting user. The system is configured to generate and to present a display associated with the token thread authentication process.

Token thread authentication system for physical space access

Methods and system are provided for tuning an artificial intelligence ('AI') system. The methods and system may include training the AI system to identify distinct users their distinct interactions. The training may include receiving datatsets related to a plurality of distinct users and their plurality of distinct interactions. The AI system may parse the datasets to arrive at a plurality of sets of distinct interactions performed by respective distinct users, each distinct interaction may be associated with a level of security clearance. The AI system may receive a request from a user to access information. The methods and system may include the AI system initiating a communication with the user. The communication may be compared with the each set of distinct interactions until a user and level of security can be identified. The AI system may prompt the user to access information on the level of security clearance identified.

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Arlington, VA, United States of America

Ana Maxim