Amazon Technologies, Inc.

Jennifer Anne Brinkley

Eric Jason Brandwine

Min Lee Hyun

Mark Becker

Tyler Stuart Bray

Alexander Watson

Victor Chin

Michael Gough

Paul Radulovic

Eric Johnson

Jack Rasgaitis

Daniel Brim

Nai Qin Cai

Christopher Simmons

Max Anger

Ryan Holland

Systems and methods directed to a service that analyzes media and outputs a confidence score of the media based on inconsistencies within media and differences between source media and the media, are described herein. In one aspect, a media file may be obtained at a computing resource service provider. The media file may be analyzed using at least one of a plurality of functions to generate media results that indicate inconsistencies within the media file, and/or differences between the media file and corresponding media registered with the computing resource service provider or contextual media that contains similar content to the media file, where individual functions of the plurality of functions are executed in parallel by at least one compute unit. A confidence score, which indicates a significance of the inconsistencies within the media file and/or differences from the registered or contextual media, may be generated based on the media results.

Evaluation criteria for media authenticity analysis service

Systems and techniques are described for tracking and providing access reports for individual pieces of data managed by a data storage service. A service may generate and store a record of operations performed on a piece of data, such that may be classified as containing sensitive or important data, in a data store. The record may link representations of users and the operations performed by those users to instances of the piece of data, as it is found in one or more data objects within the data store. The data store may link other instances of the piece of data and other operations performed on the piece of data to the first instance of the piece of data. The service may access the data store to produce a history record of the various instances of the piece of data and operations performed on those instances of the piece of data.

Data access tracking service

Systems and methods directed to a service that analyzes media and outputs an evaluation of the media based on inconsistencies within media and differences between source media and the media, are described. In one aspect, a media file may be obtained at a computing resource service provider. The media may be analyzed to generate media results that indicate inconsistencies within the media file and/or differences between the media file and corresponding source media registered with the computing resource service provider. An indication of a significance of the inconsistencies within the media file and/or differences between the registered source media and the media may be generated based on the media results. In some aspects, source media may be registered and one or more artifacts inserted into the media to enable more efficient comparisons of whether other media is consistent with the registered source media.

Media authenticity analysis service

A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Intelligent security management

Growing community of inventors

Portland, OR, United States of America

Jennifer Anne Brinkley