Abstract: A system, including: a non-transitory memory; and one or more hardware processors coupled to the non-transitory memory and configured to read instructions from the non-transitory memory to cause the system to perform operations including: determining a first physical location of a user; comparing the first physical location to data indicative of network availability; and in response to comparing the first physical location to data indicative of network availability, generating a first electronic token and a second electronic token for a mobile computing device associated with the user.

Abstract: Computer system security is often implemented using rules-based systems (e.g., allow traffic to this network port, deny it for those network ports; user A is allowed access to these files, but not those files). In enterprises, multiple such systems may be deployed, but fail to be able to intelligently handle anomalies that may technically be permissible but in reality represents a high possibility that there is an underlying threat or problem. The present disclosure describes the ability to build adaptive models using machine learning techniques that integrate data from multiple different domains (e.g. user identity domain, system device domain) and allow for automated decision making and mitigation actions that can provide greater effectiveness than previous systems allowed.

Abstract: A machine learning engine for fraud detection following link selection may be trained using artificial intelligence techniques and used according to techniques discussed herein. A buyer account may be used to establish and generate a digital gift card having a particular value specified by the buyer. The digital gift card may then be conveyed to another account, such as an email address. The digital gift card may be provided with an online electronic process for redemption and use of the value, for example, by selecting a link and navigating to the process. When the claimer account attempts to utilize the value of the gift card by navigating to the process or otherwise engaging in the electronic process through a device, a risk and fraud analysis engine may execute to determine, based on real-time data of the claimer account, the buyer account, and/or device, whether the digital gift card was generated fraudulently or is being used fraudulently.

Abstract: A method for predicting software failure characteristics is discussed. The method includes accessing failure data and context data related to a failed software call into a software stack. The failure data indicates software call information. The context data indicates characteristics including functionality of the failed software call. The method includes accessing cluster data on previous software failures. The cluster data includes analyzed failure data and analyzed context data on software call traces. The analyzed failure data is provided by first and second failure tools. The cluster data for software calls is generated through respective instances of the software stack for each software call trace. The method also includes correlating the failed software call trace to a particular software call trace of the cluster data. The correlating is based at least on analysis of clusters indicated by the cluster data, the failure data, and the context data.

Abstract: Systems and techniques for providing login from an alternate electronic device are presented. A system can receive hash data associated with first fingerprint data and a timestamp from a first electronic device in response to a determination that the first electronic device satisfies a defined criterion associated with a terminal computing request. The system can also form a correlation between the first electronic device and a second electronic device within a geographic area associated with the first electronic device based on the timestamp, first location data associated with the first electronic device, and second location data associated with the second electronic device. Furthermore, the system can initiate display of a graphical user interface on the second electronic device in response to a determination that second fingerprint data provided to the second electronic device within a timeframe associated with the timestamp matches the first fingerprint data associated with the hash data.

Abstract: Systems and methods for providing a website tracking system include a system provider device that detects a first interaction between a user and a web browser executing on the user device while the web browser displays a first merchant website, the first interaction determined by a first downloaded code provided by the system provider device. In some embodiments, a second interaction between the user and the web browser is detected while the web browser displays a second merchant website, the second interaction determined by a second downloaded code provided by the system provider. Based on the first interaction and the second interaction, one or more entries of a system provider database is updated. The system provider device thereafter causes to be displayed, on a graphical user interface (GUI) of the user device, the one or more entries.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for auto-labeling clusters generated by machine learning models. In one embodiment, a system is introduced that can perform a series of operations for determining comprehensive labels for clusters output from machine learning methods used to classify data sets. The auto-labeling system may include generating labels determined using a computation of a frequency count, ratio, and coverage. These computations may use feature-based dictionaries which aid in the determination, storage, and analysis of the relevant features useful in labeling the clusters.

Abstract: There are provided systems and methods for detection of fraudulent displayable code data during device capture. A user may utilize a computing device to capture data at a certain location, such as imaging a QR code or reading an RFID reader. However, without knowing that those codes or devices are safe, the user make risk a computing attack on their device. Thus, processes herein provide a manner to detect when codes or devices are unsafe based on the additional data detected when encoded data is captured. In such instances, those codes and devices may be detected as fraudulent and the user may receive a warning of malicious computing attacks. Additionally, the user may be guided to valid codes and devices to utilize and may further receive information on removing such computing attacks.

Abstract: There are provided systems and methods for automatic data pull requests using a secure communication link between online resources. An account may be used to electronically process transactions by a user, which may include use of a digital wallet that may store payment instruments used for transaction processing. The user may access an online platform for a service provider that provides a service to the user and bills the user for the service. The online platform may provide transaction processing services for the user's bills. The user may request a secure communication link be established between the service provider's billing platform and the user's digital wallet so that when billing data is available on the billing platform, the data may be pulled by the digital wallet from the platform and loaded to the user's digital wallet for processing.

Abstract: A unidirectional workflow execution engine is accessed. The unidirectional workflow includes at least a first node and a second node, where the first node is executed before the second node. A timeout setting of the first node is retrieved. An actual execution time of the first node is determined. A difference between the retrieved timeout setting and the actual execution time of the first node is calculated. A timeout setting of the second node is retrieved. The timeout setting of the second node is modified by adding, to the retrieved timeout setting of the second node, the calculated difference between the retrieved timeout setting and the execution time of the first node.

Abstract: Systems and methods for improving database system performance are described. In one embodiment, a database system includes a database application cluster including at least one read-write node and a plurality of read nodes, a shared memory, and a multiplexer coupled to the database application cluster and shared memory. The multiplexer is configured to receive a request from a client computing system which includes a database query. Based on a lookup in the shared memory, the multiplexer determines that the database query can be routed to one of the plurality of read nodes. In response, the database query is routed to one of the read nodes for execution.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for processing a transaction. In one embodiment, a system is introduced that enables a communication between applications. The communication occurs through the use of one or more gestures that enable the request for information, funds, items for purchase and the like. In another embodiment, a system if introduced that enables a unified multi-marketplace communication. The communication includes the use of gestures for the transfer of information, funds, items for purchase, discounts, etc., using a unifying entity. The unifying entity can be a financial institution, payment provider, or the like that may be used to carry a transaction between applications allowing for a single checkout.

Abstract: A method includes determining, based on login information corresponding to a plurality of login attempts, that a set of password spray criteria have been satisfied. The method also includes generating respective scoring patterns corresponding to one or more password lengths and based on the respective scoring patterns, generating a common digital signature for a set of common passwords. The method further includes generating a spray digital signature for a set of potential spray passwords based on the respective scoring patterns. Additionally, the method includes comparing the spray digital signature with the common digital signatures to determine a number of matching components between the spray digital signatures and the common digital signature. Based on the number of matching components, the method includes determining whether a password spray has been attempted.

Abstract: Systems and methods for use with a service provider and a consumer electronic device include a trusted remote attestation agent (TRAA) configured to perform a set of checking procedures or mechanisms to help ensure the security status of a consumer electronic device (e.g., a mobile terminal or phone) that holds financial instruments. The checking procedures may include: self-verifying integrity by the TRAA; checking for presence of a provisioning SIM card (one that was present when the financial instruments were enabled on the device); checking that a communication connection between the consumer electronic device and the service provider is available and active; and checking that communication connectivity to a home mobile network is available and active. The frequency of the checking mechanisms may be adjusted, for example, according to a risk-profile of a user associated with the device or the location (e.g., GPS location) of the device.

Abstract: Systems and methods for mobile application integration are described. These may include receiving a payment request a mobile application, sending a payment application detection request, receiving a detection response, and sending a customized user interface to the mobile device. The customized user interfaces are determined by whether an associated payment application is present on the mobile device and whether the mobile device is authenticated with the payment processing platform. These techniques can allow for a better user experience when interacting with the payment processing platform.

Abstract: There are provided systems and methods for an automated device data retrieval and analysis platform. A service provider server invokes an instance of an application in a remote processing environment using device data associated with the application and sends a control message that prompts the instance to send a request to a web server for a process script that invokes a process executable in the remote processing environment. The service provider server obtains traffic data a behavior of application data based on an interaction between the instance and the web server, and determines features of the application in a native state from the behavior of the application data. The server generates a data profile of the application that indicates the features in the native state and provides the data profile to a remote engine to detect potential malicious activity associated with the application from the detection operation.

Abstract: A unified model for a neural network can be used to predict a particular value, such as a customer value. In various instances, customer value may have particular sub-components. Taking advantage of this fact, a specific learning architecture can be used to predict not just customer value (e.g. a final objective) but also the sub-components of customer value. This allows improved accuracy and reduced error in various embodiments.

Abstract: An apparatus, system and method are provided for facilitating commerce. An audio query describing information requested by the user is received. The audio query is processed to identify at least one category corresponding to the information requested by the user. At least one selected from the group of an image, audio data, and textual information to be presented on a user interface of the device is transmitted over the network connection. The at least one of the image, the audio data, and the textual information is associated with the identified at least one category in response to the received audio query describing the information requested.

Abstract: A communication device may have a set of web cookies designated for a specific location. When the communication device enters the specific location, the set of web cookies, which are designated for the specific location, may be used to customize a web page displayed at the communication device. When the communication device exits the specific location, the set of web cookies, which are designated for the specific location, may be inactivated. Different sets of web cookies may be designated for different locations. For example, a set of web cookies may be designated for home and another set of web cookies may be designated for work. The communication device may activate an appropriate set of web cookies based on the location of the communication device.