Google Inc.

Rongjing Xiang

James Brooks Miller

Tal Dayan

Jay Pierre Civelli

Hugh Brendan McMahan

Zheng Sun

Maya Ben Ari

Ido Ofir

Christiaan Prins

Brandon Keely

Tanton Holt Gibbs

Ning Zheng

Jennifer Ellen Fernquist

Jennifer Seth

Systems and techniques are provided for aggregation of asynchronous trust outcomes in a mobile device. Trust levels may be determined from the signals. Each trust level may be determined independently of any other trust level. Each trust level may be determined based on applying to the signals heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems. An aggregated trust outcome may be determined by aggregating the trust levels. Aggregating the trust levels may include applying heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems to the trust levels, and wherein the aggregated trust outcome; and sending the aggregated trust outcome to be implemented by the enabling, disabling, or relaxing of at least one security measure based on the aggregated trust outcome.

Aggregation of asynchronous trust outcomes in a mobile device

Growing community of inventors

Mountain View, CA, United States of America

Rongjing Xiang