Amazon Technologies, Inc.

Amitpal Singh Bhutani

Justin Michael Bonnar

Alan Greame Davison

Bryan Christopher Castillo

Thomas Luke Kovarik

Dennis Scott Doctor

John Matthew Nienart

Aatish Suresh Mandelecha

Robert Benjamin Brydon

Chelsea Celest Krueger

Guy Bialostocki

Prathap Ramachandra

Liu Yang

Jingqian Zhao

Ponnu Jacob

Ruiqi Luo

Ajay Kumar Soni

Adam Kalman

Simone Filice

Systems and methods for securing transaction messages are described. In an example, a rule set may be accessed. The rule set may specify a selection of a key from a plurality of keys or an obfuscation process from a plurality of obfuscation processes. The selection may be based on a condition associated with securing transaction messages. The keys or the obfuscation processes may be stored at a card reader. An instruction about the selection may be provided to the card reader based on the rule set and a determination that the condition is satisfied. In turn, a secure transaction message may be received from the card reader. The secure transaction message may have been secured based on the key or the obfuscation process. The secure transaction message may be provided to a transaction system that includes a management system associated with the key or the obfuscation process.

Securing transaction messages based on a dynamic key selection

Systems and methods for securing transaction messages are described. In an example, a transaction network may receive a transaction message. The transaction message may have been secured based on a key or an obfuscation process. They key or the obfuscation process may be associated with a management system of the transaction network. The transaction message may be received based on a rule set specifying a selection of the key from a plurality of keys or the obfuscation process from a plurality of obfuscation processes. The selection may be based on a condition associated with securing the transaction message. The keys or the obfuscation processes may be stored at least at a card reader. The management system may access the transaction message and may provide transaction data to an endpoint based at least in part on the transaction message being accessed.

Multi-path back-end system for payment processing

A new model is introduced into a particular domain that receives a routing of a dialog from a speech processing component. The speech processing component is engaged in the dialog with a user and the speech processing component routes the dialog to the particular network-based domain according to a determination by the speech processing component that the user has an intent to perform a task handled by the domain. The model detects, at the domain, whether the user has the proper intent associated with the domain by using the user utterance in its entirety to yield a detection result. When the user does not have the proper intent based on the detection result, the domain drops the user utterance.

Detecting false accepts in a shopping domain for handling a spoken dialog

Technologies are described herein for a payments portal. A payments portal can be configured to support payments by generating and embedding widgets in webpages hosted by merchant sites associated with a marketplace. The widgets can provide specific payment functionality for users, thereby providing consistent payment experiences across merchant sites without updating the merchant sites. The widgets can be dynamic or static. Interactions with the widgets can cause a browser displaying the widgets to access data hosted by the payments portal and/or other systems, devices or services in communication with the payments portal.

Payments portal

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Bellevue, WA, United States of America

Amitpal Singh Bhutani