Bank of America Corporation

Timothy Scott Murphy

Maharaj Mukherjee

George Albero

Jinna Zevulun Kim

Paul Martin Mattison, Sr

Kristoffer Matthew Bertsch

Aspects related to an amalgamation platform providing concealed detection of code-passing using steganography are provided. An amalgamation platform may train a scoring engine to generate suspicion scores for code snippets and an amalgamation engine to generate execution scenarios for the code snippets. The platform may embed code in base code of a network using steganography. The platform may use the steganographic code to detect transmission of a code snippet. The platform may generate a suspicion score for the code snippet. The platform may update the scoring engine based on identifying the suspicion score satisfies a threshold. The platform may generate execution scenarios for the code snippet. The platform may determine a match between an execution scenario and a malicious code scenario. The platform may identify the code snippet as malicious and update the amalgamation engine based on the match. The platform may initiate security actions based on the match.

Amalgamation platform providing concealed detection of code-passing using steganography

A system is provided for containerization-based countermeasures to cybersecurity vulnerabilities. In particular, the system may generate one or more containers (e.g., virtual environments), where each container may be configured to execute one or more tasks. At least a portion of the containers may be decoy containers that may be executing one or more decoy tasks. The system may then use a randomized process to change which containers are decoy and/or which tasks or jobs are executed within each container. Each container may be associated with a cryptographic key such that each container may be hashed by the system and compared against a reference hash associated with the container. If the hash has changed, the system may determine that the container has been modified and subsequently implement one or more intelligent remediation processes.

System for containerization-based countermeasures to cybersecurity vulnerabilities

A system for remote authentication accesses a scanned copy of a first document, images, and signatures associated with a requesting user, converts the scanned copy to a digital document, determines a subject matter associated with the first document based on an analysis of the digital document by natural language processing and machine-learning models, selects a first authenticator from multiple authenticators based on the subject matter, a timestamp of the authentication session, and an authenticator profile of the first authenticator, establishes a video communication session between the first authenticator and the requesting user via a display screen via networks, and instructs a printer to generate a physical copy of an authenticated first document including a first authentication certificate of the first authenticator upon determining the first document is authenticated by the first authenticator.

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Charlotte, NC, United States of America

Timothy Scott Murphy