Amazon Technologies, Inc.

Juan Rodriguez Hortala

Neha Rungta

John Byron Cook

Carsten Varming

Sean McLaughlin

Michael Tautschnig

Pauline Virginie Bolignano

Mark Rogers Tuttle

Serdar Tasiran

Andrea Nedic

Andrew Jude Gacek

Oksana Tkachuk

Catherine Dodge

Temesghen Kahsai Azene

Kasper Soe Luckow

Claudia Cauli

Sean Maher

Daniel Schwartz-Narbonne

A method for verifying source code for a program includes determining that a new version of the source code is available. One or more verification tools are determined to use for verification of the new version of the source code from a verification specification associated with the source code. A plurality of verification tasks to perform for the verification of the new version of the source code are automatically determined from the verification specification associated with the source code. The plurality of verification tasks for the new version of the source code are automatically performed using the one or more verification tools. A determination is then made as to whether the new version of the source code is verified.

Automated software verification service

In some embodiments, a system is provided, and computer-executable instructions cause the system to: obtain a file with instructions for provisioning resources of a service by referencing types of compute resources and including instructions for generating a customized resource of a first type; determine that the file references a first type of compute resources; retrieve threat modeling information associated with the first type of resource, including information identifying a first potential threat; generate a graph with nodes representing the first type of resource, the customized resource, and the first potential threat, and an edge connecting the first node and the second node with a predicate indicative of the relationship them; generate an ontology statement that relate the customized resource and first type of resource; and provide a plurality of ontology statements representing the graph to a reasoner to perform at least a portion of a security review without user intervention.

Automatically generating a machine-readable threat model using a template associated with an application or service

A constraint solver service of a computing resource service provider performs evaluations of logic problems provided by the service provider's users and/or services by deploying a plurality of constraint solvers to concurrently evaluate the logic problem. Each deployed solver has, or is configured with, different characteristics and/or capabilities than the other solvers; thus, the solvers can have varying execution times and ways of finding a solution. The service may control execution of the solvers using virtual computing resources, such as by installing and configuring a solver to execute in a software container instance. The service receives solver results and delivers them according to a solution strategy such as 'first received' to reduce latency or 'check for agreement' to validate the solution. An interface allows the provider of the logic problem to select and configure solvers, issue commands and modifications during solver execution, select the solution strategy, and receive the solution.

Constraint solver execution service and infrastructure therefor

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Seattle, WA, United States of America

Juan Rodriguez Hortala