Splunk Inc.

Cisco Technology, Inc.

Verizon Media Inc.

Michael Emery

Jesse Chor

Glen Wong

Devin Bhushan

Christopher Chan

Simon Tam

Mingyuan Chen

Dylan Patricia Conway

Everett Yip

Eeshan Wagh

Lavanya Colinjivadi Viswanathan

Various embodiments of the present application set forth a computer-implemented method that includes receiving, by a trusted tunnel bridge and from a first application executing in a first network, a first encrypted data packet, where the first encrypted data packet includes an encrypted portion of data, and a destination device identifier (DDI). The method further includes determining, by the trusted tunnel bridge, a particular device in a second network and associated with the DDI included in the first encrypted data packet. The method further includes sending, by the trusted tunnel bridge directly to the particular device, the first encrypted data packet.

Trusted tunnel bridge

A mobile device that includes a camera and an extended reality software application program is employed by a user in an operating environment, such as an industrial environment. The user aims the camera within the mobile device at optical data markers, such as QR codes, that are associated with machines in the environment. The mobile device acquires an image from the camera and decodes the optical data markers included in the acquired image. The mobile device queries the data intake and query system for the values of metrics for the machines associated with the decoded optical data markers. Upon receiving the metric values from the data intake and query system, the mobile device generates AR overlays and superimposes the AR overlays onto the acquired image. The mobile device displays the image with superimposed AR overlays on a display device.

Generating extended reality overlays in an industrial environment

Various embodiments of the present application set forth a computer-implemented method that includes generating, based on a resource file stored at an endpoint device, a credential data packet for authenticating with a first application executing in a first network, where the resource file includes a set of encryption keys associated with a plurality of applications including the first application, and where the credential data packet is encrypted with a device key signed by the endpoint device, and the credential data packet is signed by an endpoint device management (EDM) key extracted from the set of encryptions keys included in the resource file, sending, by the endpoint device, the credential data packet to the first application via a trusted communication channel, and receiving, by the endpoint device and in response to the credential data packet, an authorization packet from the first application via the trusted communication channel.

Scaled authentication of endpoint devices

A mobile device that includes a camera and an extended reality software application program is employed by a user in an operating environment, such as an industrial environment. One or more objects within a geofence may be identified. A device crosses within the geofence and acquires sensor data associated with an object within the geofence. The sensor data may include image data and/or audio data. The device or a server system may then determine an object identifier associated with the object based on a comparison of the sensor data with data associated with object identifiers corresponding to objects within the geofence. Based on the object identifier, data associated with the object are obtained. The data associated with the object may be presented via the device, such as an extended reality overlay over a view of the object in the device.

Geofence-based object identification in an extended reality environment

The present teaching relates to facilitating a user-machine conversation. In one example, a query is obtained from a user. The query is directed to a first conversational bot. A reply in response to the query is obtained from the first conversational bot. A degree of validity of the reply is determined based on the reply and the query. A second conversational bot is determined based on the query and the degree of validity. The conversation is directed to the second conversational bot with the query.

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Scotts Valley, CA, United States of America

Michael Emery