Abstract: Aspects described herein may provide determination of a pedestrian route for a user to reach a seating area inside of a venue. Financial transaction data of the user may be reviewed to determine the user purchased one or more tickets to an event at the venue. Information regarding the event or the venue may be determined including seating charts for the venue and whether the tickets are for assigned or unassigned seats. Crowd densities inside and outside of the venue may be determined. The pedestrian route may be determined based on the crowd densities, number of tickets, and type of seating. The route may be updated as conditions change including any change to the crowd densities or change to seating availability. The route may increase a likelihood that the user reaches the seating area prior to a start of the event, and in a less stressful manner.

Abstract: In some implementations, a device may receive an indication of information associated with a stored value medium. The device may populate a database with the information associated with the stored value medium, where the database includes a table to link the information associated with the stored value medium with an entity identifier of an entity associated with the stored value medium. The device may receive an indication of an exchange associated with the entity identifier of the entity, where the exchange is not associated with the stored value medium. The device may parse the database using the entity identifier associated with the entity to identify the information associated with the stored value medium indicated in the database. The device may communicate, with a backend system, to enable the exchange to be at least partially completed using the resources associated with the stored value medium.

Abstract: 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.

Abstract: In some implementations, a device may receive an indication of information associated with a stored value medium. The device may populate a database with the information associated with the stored value medium, where the database includes a table to link the information associated with the stored value medium with an entity identifier of an entity associated with the stored value medium. The device may receive an indication of an exchange associated with the entity identifier of the entity, where the exchange is not associated with the stored value medium. The device may parse the database using the entity identifier associated with the entity to identify the information associated with the stored value medium indicated in the database. The device may communicate, with a backend system, to enable the exchange to be at least partially completed using the resources associated with the stored value medium.

Abstract: 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.

Abstract: 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.

Abstract: Methods and systems comprising a first portion of a model that includes a model component that is trained to perform sentiment analysis based on training data for a plurality of users (e.g., what language, phrases, and/or responses the population at large uses). The first portion of the model also includes a model component that is trained to identify user intent based on the sentiment analysis that is specific to user groups. For example, the system first determines the likely context and/or meaning of communications of the user. The system then determines a likely intent of the user based on the likely context and/or meaning of communications (e.g., based on a correlation of the meaning of communications of the user and the intents of users corresponding to a user group of the user).

Abstract: 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.

Abstract: Systems and methods described herein may generate a temporary location-associated cryptographic identification code (which can be used to uniquely identify the user) based on detection of the user at the associated location. As an example, such systems and methods allow for the user to be identified (e.g., as part of an authentication process) when the user visits a location without having to share personally identifiable information with any other users or computing systems at the location. Additionally, or alternatively, such systems and methods enable the practical use of shorter cryptographic identification codes as a primary identifier (or sole identifier) at the location for retrieving data related to the user (e.g., by avoiding or mitigating collision or security risks typically associated with short identifiers).

Abstract: 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.

Abstract: 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.

Abstract: In some implementations, a physical medium may include a radio frequency (RF) component and an integrated circuit (IC) chip component. The physical medium may be configured to detect, via the RF component, that the physical medium is within a communicative proximity of a first user device or a first medium associated with a first account. The physical medium may communicate, via the RF component, with the first user device or the first medium based on detecting that the physical medium is within the communicative proximity of the first user device or the first medium. The physical medium may configure the IC chip component to indicate that the physical medium is paired with the first account. The physical medium may transmit, via the RF component or the IC chip component and to a terminal, an indication that the physical medium is paired with the first account.

Abstract: Systems, methods, and computer-readable storage media for providing communication recommendations to users. The system receives electronic transcripts associated with a first user and generates, based on the transcripts, a communication profile of the user. The system also receives additional user transcripts associated with a plurality of additional users and generates additional communication profiles for those additional users based on the additional transcripts. The system receives a request to communicate with at least one user within the plurality of additional users regarding a specified topic, identifies a second user from within the plurality of additional users, and generates a communication initiation recommendation for the first user to communicate with the second user. The system then transmits the communication initiation recommendation to a first user computing device associated with the first user.

Abstract: Systems, methods, and computer-readable storage media for generating a quantifiable communication profile of a participant, then using that communication profile to identify fake media and/or verify media as authentic. An exemplary system can receive communications in which a participant was one of the parties communicating, perform natural language processing and statistical analyses on the received communications, and generate a participant communication profile which details how the participant communicates and prefers to be communicated with. The system can also receive media purported to be from the participant, perform natural language processing on the purported media, compare the syntax of the purported media to the participant’s communication profile, and identify, based on word usage, the media as a fake.

Abstract: 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.

Abstract: In some implementations, a physical medium may include a radio frequency (RF) component and an integrated circuit (IC) chip component. The physical medium may be configured to detect, via the RF component, that the physical medium is within a communicative proximity of a first user device or a first medium associated with a first account. The physical medium may communicate, via the RF component, with the first user device or the first medium based on detecting that the physical medium is within the communicative proximity of the first user device or the first medium. The physical medium may configure the IC chip component to indicate that the physical medium is paired with the first account. The physical medium may transmit, via the RF component or the IC chip component and to a terminal, an indication that the physical medium is paired with the first account.

Abstract: Systems, methods, and computer-readable storage media for quantifying meeting effectiveness for an individual. A system configured as disclosed herein uses data from multiple meetings in which a user participated to create a user profile for the user. The system then receives data related to a new meeting in which the user participated, processes the new meeting data into segments using natural language processing, tags the resulting segments based on contexts, and compares the tagged segments to the user profile to generate a meeting effectiveness score for the new meeting which is specific to the user. The system can use machine learning to iteratively improve an ability of the system to generate the tagged segments using historical meeting data and updating that historical meeting data with each iteration of scoring a meeting's effectiveness.

Abstract: Systems, methods, and computer-readable storage media for providing communication recommendations to users. The system receives electronic transcripts associated with a first user and generates, based on the transcripts, a communication profile of the user. The system also receives additional user transcripts associated with a plurality of additional users and generates additional communication profiles for those additional users based on the additional transcripts. The system receives a request to communicate with at least one user within the plurality of additional users regarding a specified topic, identifies a second user from within the plurality of additional users, and generates a communication initiation recommendation for the first user to communicate with the second user. The system then transmits the communication initiation recommendation to a first user computing device associated with the first user.

Abstract: Systems, methods, and computer-readable storage media for generating a quantifiable communication profile of a participant, then using that communication profile to identify fake media and/or verify media as authentic. An exemplary system can receive communications in which a participant was one of the parties communicating, perform natural language processing and statistical analyses on the received communications, and generate a participant communication profile which details how the participant communicates and prefers to be communicated with. The system can also receive media purported to be from the participant, perform natural language processing on the purported media, compare the syntax of the purported media to the participant's communication profile, and identify, based on word usage, the media as a fake.

Abstract: A system including: one or more processors; a memory storing instructions that, when executed by the one or more processors are configured to cause the system to receive user profile data for a plurality of users and user activity data associated with each user. The system may generate user access data based on the user profile data and user activity data. The system may generate a plurality of clusters including one or more users. The system may identify an access control permission that is common to a predetermined number of users within a cluster. The system may identify a user within the cluster that lacks the access control permission. The system may calculate a similarity measurement between the user access data of the user and the predetermined number of users. The system may automatically grant the access control permission in response to the similarity measurement exceeding a predetermined threshold.