Abstract: A technique includes receiving data representing an output of a security scan of an application and an audit of the security scan by a human auditor. The output represents a security issue with the application, which is identified by the security scan, and the audit represents an analysis of the security issue by the human auditor. The technique includes training a security scan classifier to learn a classification preference of the human auditor. Training the security scan classifier includes, processing the data in a processor-based machine to, based at least in part on the output of the security scan and the analysis of the security scan by the human auditor, learn the classification preference of the human auditor to the issue to build a classification model for the issue.

Abstract: A technique includes receiving data representing an output of a security scan of an application and an audit of the security scan by a human auditor. The output represents a security issue with the application, which is identified by the security scan, and the audit represents an analysis of the security issue by the human auditor. The technique includes training a security scan classifier to learn a classification preference of the human auditor. Training the security scan classifier includes, processing the data in a processor-based machine to, based at least in part on the output of the security scan and the analysis of the security scan by the human auditor, learn the classification preference of the human auditor to the issue to build a classification model for the issue.

Abstract: Extending a feature includes receiving a feature extension request from a first device identifying a feature not natively available to the first device. From a pool of registered devices, a second device offering the requested feature is identified. A communication link via which the requested feature can be extended to the first device is initiated. The extending of the requested feature from the second device to the first device is facilitated.

Abstract: A method includes receiving, by a computer, input from a client device. The input is indicative of a software environment for software to be developed by a user. The method further includes analyzing, by the computer, the received input against a knowledge base to generate a technology recommendation for the user to use to develop the software. The method also includes providing, by the computer, the technology recommendation to the client device.

Abstract: Examples disclosed herein allow rules to he applied to a device from a service detected by the device. In one example, upon entering a service area, a device detects a service associated with the service area, wherein the service comprises rules to enable or disable parameters on devices, and the device then extracts a set of the rules from the service. As an example, the extracted set of rules corresponds to a group the device is associated with. The device determines whether conditions set for the extracted set of rules are met by the device and, if the conditions are met, the device applies the extracted set of rules to the device until the device exits the service area.

Abstract: In one example of the disclosure, data indicative of a word or phrase communicated during a meeting including a plurality of participants is obtained. For each participant, records electronically accessible to the participant are identified, and each record is associated with a tier from a hierarchy of record-relevancy tiers. A set of explanations for the communication and associated scores is identified, including for each participant, beginning with a most relevant tier, searching the records accessible to the participant tier by tier until an explanation is identified, and assigning a score to the explanation according to the tier associated with the record in which the explanation is found. A preferred explanation for the communication is determined based upon the scores, and a display of the preferred explanation is caused.

Abstract: Extending a feature includes receiving a feature extension request from a first device identifying a feature not natively available to the first device. From a pool of registered devices, a second device offering the requested feature is identified. A communication link via which the requested feature can be extended to the first device is initiated. The extending of the requested feature from the second device to the first device is facilitated.

Abstract: In one example of the disclosure, data indicative of a word or phrase communicated during a meeting including a plurality of participants is obtained. For each participant, records electronically accessible to the participant are identified, and each record is associated with a tier from a hierarchy of record-relevancy tiers. A set of explanations for the communication and associated scores is identified, including for each participant, beginning with a most relevant tier, searching the records accessible to the participant tier by tier until an explanation is identified, and assigning a score to the explanation according to the tier associated with the record in which the explanation is found. A preferred explanation for the communication is determined based upon the scores, and a display of the preferred explanation is caused.

Abstract: A method includes receiving, by a computer, input from a client device. The input is indicative of a software environment for software to be developed by a user. The method further includes analyzing, by the computer, the received input against a knowledge base to generate a technology recommendation for the user to use to develop the software. The method also includes providing, by the computer, the technology recommendation to the client device.

Abstract: Payment processing as disclosed includes maintaining registration data and masked payment data so that it is accessible to a computing device. The registration data represents a registration of the computing device with a remote payment processing system. The masked payment data indirectly, but not directly, identifies payment data associated with a user. An application programming interface for receiving a payment request from a merchant application is exposed. In response to receiving the payment request for an amount via the interface, the user is prompted for authorization data. Only upon verification of the authorization data, the registration data, the masked payment data, and the amount are communicated to the payment processing system.