Abstract: The disclosed embodiments provide systems and methods for providing real-time warnings to merchants for data breaches. For example, the system may include one or more memory devices storing instructions and one or more processors configured to perform operations consistent with this disclosure. The operations may include collecting and storing transaction authorization requests from one or more merchants. The transaction authorization requests may include a virtual account number associated with an account, the virtual account number being previously bound to a merchant and reusable only for the bound merchant. The operations may further include detecting an event at the bound merchant based on, for example, a transaction authorization request having a mismatch between a transacting merchant and the bound merchant. The operations my further include communicating notification of the event through a communication interface with the bound merchant.

Abstract: The disclosed embodiments provide systems and methods for providing real-time warnings to merchants for data breaches. For example, the system may include one or more memory devices storing instructions and one or more processors configured to perform operations consistent with this disclosure. The operations may include collecting and storing transaction authorization requests from one or more merchants. The transaction authorization requests may include a virtual account number associated with an account, the virtual account number being previously bound to a merchant and reusable only for the bound merchant. The operations may further include detecting an event at the bound merchant based on, for example, a transaction authorization request having a mismatch between a transacting merchant and the bound merchant. The operations my further include communicating notification of the event through a communication interface with the bound merchant.

Abstract: A device may receive, from account entity devices, sets of transaction data for transactions between merchants and customers, and may use a first machine learning model to assign the customers to clusters based on measures of similarity among the sets of transaction data. The device may determine travel-related data items in a set of transaction data, of the sets of transaction data, associated with a set of customers assigned to a particular cluster, and may use a second machine learning model to identify a travel experience that has a threshold likelihood of being of interest to the set of customers. The device may receive offers relating to the travel experience, and may provide, to customer devices associated with customers of the set of customers, travel offer packages that include at least one of the offers relating to the travel experience.

Abstract: Systems and methods for authorizing or preventing access to a traffic controller cabinet are described. A first input may be received at a traffic controller cabinet. The first input may be indicative of an identity of an individual attempting to access the traffic controller cabinet. If the individual is determined not to be authorized to access the traffic controller cabinet, a blocking mechanism may be activated to prevent the individual from making any modification to one or more components of the traffic controller cabinet such as a software component.

Abstract: A device may receive, from account entity devices, sets of transaction data for transactions between merchants and customers, and may use a first machine learning model to assign the customers to clusters based on measures of similarity among the sets of transaction data. The device may determine travel-related data items in a set of transaction data, of the sets of transaction data, associated with a set of customers assigned to a particular cluster, and may use a second machine learning model to identify a travel experience that has a threshold likelihood of being of interest to the set of customers. The device may receive offers relating to the travel experience, and may provide, to customer devices associated with customers of the set of customers, travel offer packages that include at least one of the offers relating to the travel experience.

Abstract: A device may receive, from account entity devices, sets of transaction data for transactions between merchants and customers, and may use a first machine learning model to assign the customers to clusters based on measures of similarity among the sets of transaction data. The device may determine travel-related data items in a set of transaction data, of the sets of transaction data, associated with a set of customers assigned to a particular cluster, and may use a second machine learning model to identify a travel experience that has a threshold likelihood of being of interest to the set of customers. The device may receive offers relating to the travel experience, and may provide, to customer devices associated with customers of the set of customers, travel offer packages that include at least one of the offers relating to the travel experience.

Abstract: An exemplary system, method, and computer-accessible medium can include receiving financial information related to a transaction(s) at a first merchant, where the transaction(s) can be based on a financial instrument that can be associated with a second merchant, and where the first merchant can be different than the second merchant, declining the transaction(s), and determining a breach at the second merchant based on the transaction(s). The financial instrument can be a virtual credit card number. The virtual credit card number can be bound to the second merchant. A further transaction(s) can be received at (i) the first merchant or a (ii) third merchant, where the further transaction(s) can be based on (i) the financial instrument or (ii) a further financial instrument that can be associated with the second merchant, and where the third merchant can be different than the second merchant and the first merchant.

Abstract: Tunable apodized multiple-focus ophthalmic devices and methods characterized by a lens with multiple optical zones each with an optical power optimized for one or more focal lengths and a tunable apodization mask positioned within at least a portion of the optical zone(s). Upon a desired change of focus for the wearer, an optical transmission characteristic of the tunable apodization mask may be varied. The tunable apodization mask may take the form of an electrochromic device or another suitable material.

Abstract: The disclosed embodiments provide systems and methods for providing real-time warnings to merchants for data breaches. For example, the system may include one or more memory devices storing instructions and one or more processors configured to perform operations consistent with this disclosure. The operations may include collecting and storing transaction authorization requests from one or more merchants. The transaction authorization requests may include a virtual account number associated with an account, the virtual account number being previously bound to a merchant and reusable only for the bound merchant. The operations may further include detecting an event at the bound merchant based on, for example, a transaction authorization request having a mismatch between a transacting merchant and the bound merchant. The operations my further include communicating notification of the event through a communication interface with the bound merchant.

Abstract: Tunable apodized multiple-focus ophthalmic devices and methods characterized by a lens with multiple optical zones each with an optical power optimized for one or more focal lengths and a tunable apodization mask positioned within at least a portion of the optical zone(s). Upon a desired change of focus for the wearer, an optical transmission characteristic of the tunable apodization mask may be varied. The tunable apodization mask may take the form of an electrochromic device or another suitable material.

Abstract: A behavioral analytics platform may obtain a first data set associated with a first user and a second data set associated with a second user. The behavioral analytics platform may determine a first set of behavioral categories to classify the historical user activity data associated with the first user based on a first set of behavior vectors and determine a second set of behavioral categories to classify the historical user activity data associated with the second user based on a second set of behavior vectors. The behavioral analytics platform may populate one or more user interfaces that are accessible to the first user and/or the second user based on one or more values representing a degree to which the first set of behavioral categories and the second set of behavioral categories correspond to complementary behavioral tendencies, which may be determined using a machine learning technique.

Abstract: A behavioral analytics platform may obtain a first data set associated with a first user and a second data set associated with a second user. The behavioral analytics platform may determine a first set of behavioral categories to classify the historical user activity data associated with the first user based on a first set of behavior vectors and determine a second set of behavioral categories to classify the historical user activity data associated with the second user based on a second set of behavior vectors. The behavioral analytics platform may populate one or more user interfaces that are accessible to the first user and/or the second user based on one or more values representing a degree to which the first set of behavioral categories and the second set of behavioral categories correspond to complementary behavioral tendencies, which may be determined using a machine learning technique.

Abstract: Systems and methods for authorizing or preventing access to a traffic controller cabinet are described. A first input may be received at a traffic controller cabinet. The first input may be indicative of an identity of an individual attempting to access the traffic controller cabinet. If the individual is determined not to be authorized to access the traffic controller cabinet, a blocking mechanism may be activated to prevent the individual from making any modification to one or more components of the traffic controller cabinet such as a software component.

Abstract: Tunable apodized multiple-focus ophthalmic devices and methods characterized by a lens with multiple optical zones each with an optical power optimized for one or more focal lengths and a tunable apodization mask positioned within at least a portion of the optical zone(s). Upon a desired change of focus for the wearer, an optical transmission characteristic of the tunable apodization mask may be varied. The tunable apodization mask may take the form of an electrochromic device or another suitable material.

Abstract: A system and method are disclosed for improved video transmission, particularly in security settings. An improved security controller combines the interfaces and functionality for high quality video delivery over often less-than-perfect wireless networks, multi-camera analog/digital video controllers and encoders, multi-frequency wireless camera support, connectivity for serial controllers, network switching, and distributed digital video recording with optional object and motion detection. The video transmission in enhanced using wireless adaptive video encoding, mobile viewing optimization, and wireless bandwidth improvement.