Abstract: Techniques described herein include performing a distributed device trust determination that includes determining trust scores for customer devices across multiple organizations. In one example, this disclosure describes a method that includes receiving data of a user device event including an organization confidence level for a user device associated with the user device event; updating common data in an entry for the user device in a device registry based on the received data of the user device event and the organization confidence level for the user device; determining a common confidence level for the user device based on the common data in the entry for the user device in the device registry; and outputting the common confidence level for the user device for use by the computing device of the first organization to determine how to handle an access request from the user device.

Abstract: An apparatus and methods for training workers to recognize distortions. One example method includes positioning vacuum arms on a tilt-table top of a distortion training table situated in a horizontal position. The method further includes positioning locator arms on the tilt-table top in proximity to the vacuum arms, positioning a body panel on the locator arms to situate an inner surface of the body panel adjacent to each of the vacuum arms, applying suction to the inner surface of the body panel using the vacuum arms wherein the suction creates non-destructive distortions on an outer surface of the body panel, instructing the workers in tactile recognition of the distortions on the outer surface of the body panel, moving the tilt-table top from the horizontal position to a vertical position, and instructing the workers in visual recognition of the distortions on the outer surface of the body panel.