Bank of America Corporation

Christopher D Nobile

Edward Lee Traywick

Joshua R Johnson

Christopher Stephen Littrell

Laura Stillman Lavender

Nicholas O'reilly

Ava Elizabeth Wallace

Barry Walsh

Arrangements for controlling access to secure resources when a VPN is detected. In some examples, a request to access an enterprise organization resource may be received by a computing platform and from a user computing device. The computing platform may determine whether a VPN is detected in the request. If not, the computing platform may enable a connection between the user computing device and the requested resource. If a VPN is detected, data may be extracted from the request. The data may include identification of a user, a type of VPN and/or a type of user computing device. The extracted data may be input to an AI/ML model and the model may be executed to generate a customized notification. The notification may indicate that use of a VPN has been detected and may provide customized instructions to disable the type of VPN detected.

Controlling access to secure systems based on virtual private network detection

Aspects of the disclosure relate to a voice authentication platform. The voice authentication platform may monitor remote communications to identify a first voice sample. The voice authentication platform may train a voice authentication model to output similarity scores, based on the first voice sample. The voice authentication platform may identify a second voice sample. The voice authentication platform may generate a similarity score by inputting the second voice sample into the model. The voice authentication platform may compare the similarity score to a threshold value. If the similarity score meets or exceeds the threshold value, the voice authentication platform may update a user profile. If the similarity score is below the threshold value, the voice authentication platform may initiate a security action. The voice authentication platform may create an iterative feedback loop to update the voice authentication model.

Artificial intelligence-supported proxy worker detection using voice authentication

Arrangements for detecting an email deluge are provided. A computing platform may train an artificial intelligence (AI) engine. The computing platform may receive a group of electronic messages. The computing platform may identify a user profile based on an electronic user identifier associated with the group of electronic messages. The computing platform may determine one or more electronic characteristics based on content associated with the group of electronic messages. The computing platform may generate one or more rules to determine whether a deluge has been detected. Based on determine that a deluge has been detected, the computing platform may quarantine the group of electronic messages and/or perform other actions.

Email deluge solution

Arrangements for providing dynamic passive authentication are provided. In some aspects, registration data may be received for a plurality of users. The registration data may include biometric data of each user of the plurality of users, and identification of one or more user computing devices that each user is authorize to access. In response to receiving an indication of login to a user computing device by a first user, one or more passive authentication functions may be activated and biometric data may be received from devices associated with the user computing device. The computing platform may compare the received biometric data to registration biometric data associated with the first user. If the received data matches the registration data, the system may capture additional biometric data at a subsequent time. If the received data does not match the registration data, one or more mitigation actions may be identified and executed.

Dynamic passive authentication

Aspects of the disclosure are directed to a supporting authentication between a computing platform and a computer that has an attached geolocation dongle. The attached geolocation dongle provides location information to the computer that is indicative of a current location of the computer, where the location information is obtained from RF signals generated from neighboring cell towers or the Global Positioning System. The computing platform may utilize the location information for authenticating the computer. Moreover, the location information may be encrypted by the geolocation dongle based on an encryption key known by the geolocation dongle and the computing platform. With another aspect, authentication is supported by a computer and an associated communication device that provides location information to the computer via a short-range communication channel. With another aspect, authentication is supported by a computer and an associated communication device that provides location information directly to the computing platform.

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Charlotte, NC, United States of America

Christopher D Nobile