Bank of America Corporation

Anantharajan Srinivasarangan

Kiran Pulla

Rakesh Kumar Jain

Ananth Subramanian

Deepak Suresh Dhokane

Subburathinam Krishnan

Prabhakaran Balasubramanian

Amit Mishra

Durga Prasad Kutthumolu

Vamshi Krishna Jutur

Siva Kumar Peesapati Venkata

Jenita Mercy

Systems and methods are disclosed to provide a security framework for the authentication of digital content and the prevention of unauthorized modifications, especially targeting the vulnerabilities introduced by deepfake technologies. It innovates by merging reverse engineering with expression manipulation detection to discern genuine from altered digital media. The process involves comparing historical data against synthetic or real-time content, generating a 'video mesh' that enables precise manipulation identification. Enhanced by Smart Contracts for each content piece to record and verify changes, this system advances digital identity and transaction security significantly beyond current methodologies. Furthermore, it employs Generative AI within the Identity Intelligent Clip Reviewer to scrutinize blockchain-secured data for manipulation signs, issuing a Proof of Digital Manipulation (PODM) for verified authenticity. This comprehensive method ensures the integrity and trustworthiness of digital interactions across various platforms, marking a significant step forward in the protection against sophisticated cyber threats and unauthorized data alterations.

Spurious less data authentication by method mesh engineering using digital GenAI with proof of digital manipulation (PODM)

A system for generating an expandable pool of virtual agents to provide solutions in a virtual environment comprises a call center server in communication with a metaverse server. The call center server generates the virtual agents with corresponding skills of each real-world agent using a machine learning model based on historical observation operations performed by each particular real-world agent and a historical rule set to address the service issue. The metaverse server identifies the virtual agents in the virtual environment. The call center server routes a service inquiry with a service issue from a user equipment of a user to the metaverse server when determining that a particular real-world agent is not available. The metaverse server identifies a first virtual agent with a first skill and conducts a first interaction between the first virtual agent and a user avatar to generate the customized solution to address the service issue.

System and method for generating an expandable pool of virtual agents to provide solutions in a metaverse

An Augmented Reality (AR)-enabled Automated Teller Machine (ATM) receives a request to dispense cash equal to amount of an AR document. The AR document comprises an AR check. The AR-enabled ATM fetches a first AR check image from a memory. The AR-enabled ATM extracts a first set of features from the first AR check image. The AR-enabled ATM receives a second AR check image from a computing device associated with the receiver. The AR-enabled ATM extracts a second set of features from the second AR check image. The AR-enabled ATM compares the first AR check image with the second AR check image. The AR-enabled ATM determines whether the first AR check image corresponds to the second AR check image. In response to determining that the first AR check image corresponds to the second AR check image, the AR-enabled ATM dispenses cash equal to the amount.

Augmented reality-enabled ATM for secure augmented reality check realization

A system for Augmented Reality (AR) document generation receives a request to generate an AR document with a particular amount directed to a particular receiver. The AR document comprises an AR check. The system generates a unique code for the AR check by converting a name of a sender, a name of the particular receiver, the amount, and a serial number associated with the AR check into a hexadecimal format. The system generates the AR check by taking the unique code as an input and writing the name of the sender, name of the particular receiver, the amount, and the serial number on the AR check extracted from the unique code. The system transmits an image of the AR check to a computing device associated with the particular receiver.

Information security system and method for augmented reality check generation

A system for Augmented Reality (AR) document realization receivers a request to transfer an amount of an AR document into account of a receiver. The AR document comprises an AR check. The system fetches a first AR check image from a memory. The system extracts a first set of features from the first AR check image. The system receives a second AR check image from a computing device associated with the receiver. The system extracts a second set of features from the second AR check image. The system compares the first AR check image with the second AR check image. The system determines whether the first AR check image corresponds to the second AR check image. In response to determining that the first AR check image corresponds to the second AR check image, the system transfers the amount into the account of the receiver.

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Chennai, India

Anantharajan Srinivasarangan