Abstract: A system for implementing edge computing and smart sensors at a data center is provided. The system may monitor behavior changes and collect data about servers within the data center. The system may make changes based on the collected data. The system may use simple network management protocol (“SNMP”) to recover data and trace data at relatively rapid speeds. The system may be able to identify duplicate data records, copy the duplicate data records and eliminate the need to access a disaster recovery center. The system may also detect when a server is exceeding or nearly exceeding resource utilization. When a server is determined to be nearing a resource threshold, the server may transmit an alert and/or automatically place an order to upgrade resources. In some embodiments, the system may monitor multiple data centers. In these embodiments, each data center may be considered to be a server.

Abstract: Aspects of the disclosure relate to utilizing smart data tags to track and control secure enterprise data. A computing platform may receive, from an enterprise user computing device, enterprise data. Subsequently, the computing platform may determine one or more tags to be applied to the enterprise data. Then, the computing platform may generate a smart data object based on the enterprise data received from the enterprise user computing device and the one or more tags determined to be applied to the enterprise data received from the enterprise user computing device. Next, the computing platform may send, to an enterprise data storage platform, the smart data object, and sending the smart data object to the enterprise data storage platform may cause the enterprise data storage platform to store the smart data object in a repository comprising a plurality of smart data objects maintained by the enterprise data storage platform.

Abstract: Aspects of the present disclosure are directed to electronic computer implemented methods of data communication. The method may include via a computer-based originating data communication network, receiving a smart data payload including an originating node attribute, an injectable tracking attribute and at least one data element associated with a computer readable record; electronically processing the smart data payload including the ID attribute, the injectable tracking attribute and the at least one data element associated; electronically extracting the injectable tracking attribute to determine a network location and electronically transmitting a data element associated with injectable tracking attribute to the originating data communication network for storage in a computer readable database.

Abstract: Systems for dynamic authentication and event processing are provided. In some examples, a system may receive a request to process an event. In response to receiving the request to process the event, the system may transfer an amount of funds associated with the event from a first account of a first user who is a party to the event to a second account. The system may generate a profile for each user who is a party to the event. In some examples, the information in a profile may be anonymized. Users who are parties to the event may use the profiles to authenticate and authorize or cancel the event. In some examples, a notification may be transmitted to the system that the event is authorized for processing. The amount of funds may be transferred from the second account to a third account associated with a second user who is a party to the event. If the event is cancelled, the funds may be transferred from the second, temporary account to the first account.

Abstract: Systems for dynamic authentication are provided. In some examples, a system may receive a request to process an event. In some examples, the request to process the event may include additional details associated with the event. The system may initiate dynamic authentication functions and may retrieve data from a plurality of sources. In some examples, the data from the plurality of sources may be analyzed using machine learning to dynamically generate authentication data, such as one or more authentication questions. The system may also generate one or more corresponding responses or answers to the one or more authentication questions. In some examples, the one or more authentication questions may be transmitted to a user device or other device and may be displayed to the user. The user may provide authentication response data that may be analyzed by the system to determine whether it matches the generated response or answer. If so, the user may be authenticated and/or the event may be processed.

Abstract: A method for pre-authenticating a user on the user's mobile device is provided. The method may be implemented on the device. The method may include tracking commonly accessed applications over a pre-determined amount of time. The method may include tracking and storing on the mobile device, application data associated with each commonly accessed application. When a determined current time of day is a pre-determined amount of time prior to the tracked start time of access to a one or more commonly accessed applications, the method may include capturing, autonomously, via each of a plurality of sensors, an attribute associated with the user. The method may further include comparing a value of the attribute captured to a historically stored attribute value. The method may further include verifying and pre-authenticating the user based on the comparing. The method may also include pre-loading the user's mobile device with the commonly accessed application.