Amazon Technologies, Inc.

Shantanu Chandra

John David Dunagan

Keith A Carlson

Bradley Joseph Gussin

Jakub Zablocki

Jianbo Liu

Saurabh Jain

Pramod Singh

Azbayar Demberel

Wynand Jan Theunissen

Daniel Mahon

Justin J Tittelfitz

Systems, methods, and computer-readable media are disclosed for the dynamic, real-time detection and clustering of emerging fraud patterns. Example methods may include determining an expected account registration volume and an actual account registration volume during a same period of time. Certain methods may include determining an abnormal fluctuation in account registration volume based on a difference between the expected account registration volume and the actual account registration volume during the period of time. Certain methods may include generating subsets of account registrations received during the period of time based on one or more shared characteristics. Certain methods may include generating an account cluster based on the subsets of account registrations. Certain methods may include sending the account cluster to a bulk closure system.

Real-time detection and clustering of emerging fraud patterns

Systems for processing requests to use virtual computing resources in communicatively isolated computing environments apply a multi-tier framework for limiting the amount of virtual computing resources that can be allocated to a user in a computing environment. A bottom tier is associated with a user account that has not been analyzed for security risks, a top tier is associated with a user account that has been validated to use a corresponding computing environment; an intermediate tier, having limits between the bottom and top tiers, is applied to computing environments where the user has not requested resources. Initially, all computing environments are on the bottom tier. In response to a valid request for resources, validated computing environments are moved to the top tier and all other computing environments are moved to the intermediate tier. Requests in an intermediate-tier computing environment trigger validity review; the computing environment can move to top tier.

Tiered usage limits across compute resource partitions

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Seattle, WA, United States of America

Shantanu Chandra