Abstract: Disclosed are embodiments for electronic commerce user interfaces. In some embodiments, a device is used to create an account on an electronic commerce system or create a listing for an item for sale on the ecommerce system. A first identifier of the device is stored by the ecommerce system. When a listing is generated by the account, an image representing an item for sale is included as part of the listing. The disclosed embodiments compare a second device identifier of a device used to capture the image with the first device identifier. If the two identifiers identify the same device, this provides an indication of confidence that the seller is in possession of the item represented by the image. This indication of confidence is then displayed when the listing is displayed to prospective buyers.

Abstract: Disclosed are embodiments for electronic commerce user interfaces. In some embodiments, a device is used to create an account on an electronic commerce system or create a listing for an item for sale on the ecommerce system. A first identifier of the device is stored by the ecommerce system. When a listing is generated by the account, an image representing an item for sale is included as part of the listing. The disclosed embodiments compare a second device identifier of a device used to capture the image with the first device identifier. If the two identifiers identify the same device, this provides an indication of confidence that the seller is in possession of the item represented by the image. This indication of confidence is then displayed when the listing is displayed to prospective buyers.

Abstract: In different embodiments of the present invention, systems, methods, and computer-readable storage media allow a user to analyze software application modules, during development of the software. The present invention may be used to analyze the software application modules, to identify vulnerabilities and to provide the user with actionable intelligence that may be used to improve the security of the software application modules. The actionable intelligence may include a list or groupings of the vulnerabilities ranked based on severability, type, and/or location.

Abstract: In different embodiments of the present invention, systems, methods, and computer-readable storage media allow a user to analyze software application modules, during development of the software. The present invention may be used to analyze the software application modules, to identify vulnerabilities and to provide the user with actionable intelligence that may be used to improve the security of the software application modules. The actionable intelligence may include a list or groupings of the vulnerabilities ranked based on severability, type, and/or location.

Abstract: A system and method are provided for managing data, such as for example security or other business data. For the example of security data, security data is received from a plurality of assets that may or may not be remotely located. A plurality of security metrics are computed and normalized according to thresholds. Security metrics are aggregated to generate an aggregate score, this may include weighting the metrics according to metric priorities. A change effort corresponding to each metric is also received and a corresponding change effort for the aggregate score is calculated. Aggregate scores and aggregate change efforts are analyzed to generate risk reduction recommendations. Upon instruction, metrics corresponding to an aggregate score may be displayed including recommendations of metrics for risk reduction. The recommended metrics may be selected according to analysis of change-to-effort ratios for the metrics.

Abstract: A system and method are provided for managing data, such as for example security or other business data. For the example of security data, security data is received from a plurality of assets that may or may not be remotely located. A plurality of security metrics are computed and normalized according to thresholds. Security metrics are aggregated to generate an aggregate score, this may include weighting the metrics according to metric priorities. A change effort corresponding to each metric is also received and a corresponding change effort for the aggregate score is calculated. Aggregate scores and aggregate change efforts are analyzed to generate risk reduction recommendations. Upon instruction, metrics corresponding to an aggregate score may be displayed including recommendations of metrics for risk reduction. The recommended metrics may be selected according to analysis of change-to-effort ratios for the metrics.

Abstract: A system and method are provided for managing data, such as for example security or other business data. For the example of security data, security data is received from a plurality of assets that may or may not be remotely located. A plurality of security metrics are computed and normalized according to thresholds. Security metrics are aggregated to generate an aggregate score, this may include weighting the metrics according to metric priorities. A change effort corresponding to each metric is also received and a corresponding change effort for the aggregate score is calculated. Aggregate scores and aggregate change efforts are analyzed to generate risk reduction recommendations. Upon instruction, metrics corresponding to an aggregate score may be displayed including recommendations of metrics for risk reduction. The recommended metrics may be selected according to analysis of change-to-effort ratios for the metrics.

Abstract: A system and method are provided for managing data, such as for example security or other business data. For the example of security data, security data is received from a plurality of assets that may or may not be remotely located. A plurality of security metrics are computed and normalized according to thresholds. Security metrics are aggregated to generate an aggregate score, this may include weighting the metrics according to metric priorities. A change effort corresponding to each metric is also received and a corresponding change effort for the aggregate score is calculated. Aggregate scores and aggregate change efforts are analyzed to generate risk reduction recommendations. Upon instruction, metrics corresponding to an aggregate score may be displayed including recommendations of metrics for risk reduction. The recommended metrics may be selected according to analysis of change-to-effort ratios for the metrics.

Abstract: A system and method are provided for managing data, such as for example security or other business data. For the example of security data, security data is received from a plurality of assets that may or may not be remotely located. A plurality of security metrics are computed and normalized according to thresholds. Security metrics are aggregated to generate an aggregate score, this may include weighting the metrics according to metric priorities. A change effort corresponding to each metric is also received and a corresponding change effort for the aggregate score is calculated. Aggregate scores and aggregate change efforts are analyzed to generate risk reduction recommendations. Upon instruction, metrics corresponding to an aggregate score may be displayed including recommendations of metrics for risk reduction. The recommended metrics may be selected according to analysis of change-to-effort ratios for the metrics.