Capital One Services, LLC

Geeta Shyamala

Lee Adcock

Nahid Farhady Ghalaty

Vincent Pham

Ana Cruz

Christopher Camenares

Joseph Boayue

Benjamin Polk

Sarvani Kare

Patrick Sofo

Daniel Tran

Benjamin Yin

Jason Trost

Jason Yl

Alexander Link

In some implementations, a physical medium for card skimming detection may include a magnetic stripe, on which account information associated with a user account may be stored, one or more sensors configured to detect when information is read from the magnetic stripe, and a processor. The physical medium may detect a first read and a second read of the magnetic stripe. The physical medium may determine that the first read and the second read occur within a time threshold of each other. The physical medium may transmit, to a device and based on determining that the first read and the second read occur with the time threshold of each other, an alert signal indicating a potential threat associated with the user account.

Card skimming detection

Methods and systems disclosed herein describe generating virtual backgrounds for video communications. A virtual background generator may monitor a user's calendar and/or inbox for meetings. The virtual background generator may analyze the context of calendar invites and/or scheduled meetings to generate one or more virtual backgrounds for a video conference. A first background may be displayed for the video conference. Additionally, the virtual background generator may update the virtual background based on an analysis of one or more topics being discussed during the video conference. Based on the analysis of the one or more topics being discussed, the virtual background generator may generate a second virtual background to replace the first virtual background.

Automatic image generator using meeting content

Methods and systems described herein for processing of codes stored within security objects may involve scanning a multitude of codes using the security object. When the codes have been scanned, the security object may store the codes until the mechanism is triggered by, for example, detection of a code processing device. As the security object cycles through the stored codes, it may detect a sound from the code processing device, and then a subsequent sound indicating that a first code and a second code have been processed. The security object may determine whether some codes (e.g., between the first code and the second code) may have been skipped and based on that determination, the security object may update cycling time (e.g., time each code is displayed) and then cycle through the other codes.

Security card with code scanner

To facilitate improved email and device security, embodiments of systems and methods include intercepting, by a processor associated with an entity, an internet request, where the internet request is produced by a link received in an email at a first computing device. The processor determines that the link is externally bound relative to an entity network. The processor determines an existence of a sandbox environment instance in a set of existing sandbox environment instances. The processor routes the link through the sandbox environment instance. The processor updates the sandbox log in the database based on the sandbox environment instance and the link. The processor causes to display on a screen of the first computing device a user interface for interacting with the link in the sandbox environment instance, and the processor logs activities associated with interacting with the link in a security log.

Computer-based systems configured for detecting and sandboxing external resources and methods of use thereof

In some aspects, a computing system may use a machine learning model to determine whether a computer security policy should be modified to reduce the likelihood of a cyber security incident. Through the use of a machine learning model, unsafe combinations of access grants or permissions may be identified and modified to prevent cyber security incidents from occurring. The computing system may input a representation of a computer security policy into a machine learning model, which has been trained on a dataset that includes representations of computer security policies. The computing system may generate output indicating a likelihood that the first computing system will be involved in a cyber security incident. Based on the output satisfying a first threshold, the computing system may generate a recommendation to modify the first computer security policy. The computing system may modify the first computer security policy based on the recommendation.

Machine learning for computer security policy modification

Methods and systems are described herein for bypassing secondary tiers of authentication for particular security categories. An authentication system, when authenticating a user, may receive an authentication request with authentication data enabling authentication through a multi-tier authentication mechanism. When the request has been authenticated through a multi-tier authentication mechanism, the authentication system may identify a category associated with the request and generate a temporal unlock flag for that category of future requests, such that the temporal unlock flag indicates that multi-tier authentication is not required for a predetermined amount of time for requests of that category. The temporal unlock flag may be inserted into the user's record. When future requests of that same category are received, only a single-tier authentication mechanism may be required for authentication.

Authorization level unlock for matching authorization categories

Methods and systems are disclosed for improvements in cloud services by sharing estimated and actual usage data of cloud services recipients with the cloud services provider. The sharing of this data allows the cloud services provider to better apportion cloud resources between multiple cloud services recipients. By analyzing information included in the shared data (e.g., information about one or more applications that use the cloud resources), the cloud services provider may categorize the applications and/or the functions of those applications into authorized and unauthorized uses, the determination of which, is used to further efficiently apportion the cloud services resources.

Methods and systems for provisioning cloud computing services

Systems and methods for generating a preview stream for a user of a video conferencing service. In some aspects, the systems and methods provide for receiving a video stream of at least a portion of a display screen of a user device and determining whether the user device has been designated as a receiving device for receiving a version of the video stream. In response to determining that the user device has not been designated as a receiving device for receiving a version of the video stream, a request is generated to designate the user device as a receiving device in addition to being a presenting device. Based on images of the video stream, a preview stream (e.g., of at least a portion of the display screen) is generated and transmitted for display at the user device.

Systems and methods for providing a server-side-generated preview stream for a user of a video conferencing service

Analyzing communications to determine appropriateness and provide recommendations based on prior communications. Prior communications may create a baseline tone based on the sentiment, words, or phrases used in previous communications between the user and the intended recipient and/or other user recipient pairs. Machine learning techniques may be used to continuously update a baseline tone.

System and method for electronic text analysis and contextual feedback

A configured application for authorizing a credit card by a user and a method that may include receiving an electronic request to pair a mobile device associated with a user with a credit card of the user. The credit card may include a location tracking circuitry to remotely communicate a location of the credit card to a remote electronic recipient. The location of the credit card may be received by a processor from the remote electronic recipient. A proximity multi-factor authentication may verify that the user is an authorized user of the credit card. The mobile device associated with the user may be paired with the credit card of the user after verifying that the user is the authorized user. The processor may receive the location of the credit card paired with the mobile device from the remote electronic recipient. The location of the credit card may be displayed on a display of the mobile device associated with the user.

Growing community of inventors

McLean, VA, United States of America

Geeta Shyamala