Patents by Inventor Raghuveer Ketireddy

Raghuveer Ketireddy has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11531763
    Abstract: Methods, systems, and computer-readable media for automated code generation using analysis of design diagrams are disclosed. A diagram-to-code system determines one or more security properties of a plurality of components associated with a software product. Relationships between the components are indicated in a software design diagram. At least some of the security properties are determined using input to a user interface. The diagram-to-code system generates one or more secure code packages based (at least in part) on the software design diagram and the one or more security properties. The secure code package(s) implement one or more security controls associated with the software product. The secure code package(s) are provided to a developer. The secure code package(s) and additional program code from the developer are compiled into a compiled software product. Execution of the compiled software product mitigates security vulnerabilities using the one or more security controls.
    Type: Grant
    Filed: December 10, 2019
    Date of Patent: December 20, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Akshay Gupta, Raghuveer Ketireddy, Trevor Tonn
  • Patent number: 11507655
    Abstract: A design inspector tool generates secure source code related to stencils and design elements of an architecture diagram. The design inspector tool may retrieve source code from a source code repository that includes source code that is relevant to the stencils and design elements implemented by the design inspector tool. When or after a user modifies the source code, the design inspector tool feeds contextual information associated with the stencils and the design elements into a trained machine learning logic. The trained machine learning logic processes the contextual information to retrieve contextually relevant auto complete secure code suggestions from the source code repository. The contextually relevant auto complete source code suggestions may be presented to the user as an option for replacing or augmenting the modified source code.
    Type: Grant
    Filed: December 11, 2019
    Date of Patent: November 22, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Raghuveer Ketireddy, Akshay Gupta, Trevor Tonn
  • Patent number: 10860295
    Abstract: Methods, systems, and computer-readable media for automated detection of ambiguities in software design diagrams are disclosed. One or more graphs are determined that represent a plurality of elements of a design diagram. The one or more graphs comprise a plurality of nodes representing components and a plurality of edges representing relationships between the components. An evaluation of the design diagram with respect to one or more rules is initiated by a rules engine. The evaluation is based (at least in part) on traversal of the one or more graphs. Based (at least in part) on the evaluation, one or more flaws are identified in the design diagram. A modified design diagram is generated that represents remediation of at least a portion of the one or more flaws.
    Type: Grant
    Filed: January 3, 2019
    Date of Patent: December 8, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Raghuveer Ketireddy, Benjamin Richeson, Trevor Tonn