Imprivata, Inc.

Lou Bergandi

Alain Slak

David M T Ting

David Kashtan

Pieter-Jan Boone

Robert Calder

Feroz Gora

Michael Michlin

Taras Lushney

Jason Mafera

Boris Boruchovich

Paul Bradford

Jay Tucker

Joel Lemieux

Embodiments of the present invention analyze multiple factors—such as user input events, device motion data, other data from the endpoint, or data from an external system (such as a real-time location system)—to make a probabilistic determination whether a walkaway event has occurred.

Inference-based detection of proximity changes

Firmware updates for, e.g., thin client devices may be achieved in a seamless, non-disruptive manner using a two-stage firmware loader, including a base loader pre-installed on the device and a caching loader downloaded, by the base loader, from a firmware server and thereafter responsible for downloading and updating other firmware application packages.

Secure, non-disruptive firmware updating

Embodiments of the present invention analyze multiple factors&#x2014;such as user input events, device motion data, other data from the endpoint, or data from an external system (such as a real-time location system)&#x2014;to make a probabilistic determination whether a walkaway event has occurred.

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Oceanside, CA, United States of America

Lou Bergandi