Intuit, Inc.

M Shannon Lietz

Luis Felipe Cabrera

Javier Godinez

Thomas Bishop

Brett Weaver

Capen Brinkley

Ankur Jain

Sabu Kuruvila Philip

Oleg Gryb

Barry J Nisly

Ted Richard Neher, Iii

Jinglei Whitehouse, Iii

Christian Price

Elangovan Shanmugam

Jeffrey M Wolfe

Troy D Otillio

Brad A Rambur

Jinglei Whitehouse

Scott Cruickshanks Kennedy

William Q Bonney

James Armitage

Michelle Nikulshin

Erik Thomas Naugle

Mark Basler

Eric Jason Hlutke

Iii Neher Ted R

Ted R Iii Neher

Ted R Neher

Big data analysis methods and machine learning based models are used to provide offer recommendations to consumers that are probabilistically determined to be relevant to a given consumer. Machine learning based matching of user attributes and offer attributes is first performed to identify potentially relevant offers for a given consumer. A de-duplication process is then used to identify and eliminate any offers represented in the offer data that the consumer has already seen, has historically shown no interest in, has already accepted, that are directed to product or service types the user/consumer already owns, for which the user does not qualify, or that are otherwise deemed to be irrelevant to the consumer.

Replacing a potentially threatening virtual asset

External events are correlated with patterns of characteristics in virtual assets. Upon detection of a pattern in a different asset that matches a pattern corresponding to an event, that detection is treated as a trigger event, with resulting responsive action(s) and other process operations. Security threats are managed in a similar manner, with first security threats being added to a collection of security threats. When a virtual asset detects a change in operating characteristics, a request is provided for the collection of current security threats, and the collection of security threats is provided responsive to the request.

Method and system for enabling self-monitoring virtual assets to correlate external events with characteristic patterns associated with the virtual assets

A method and system include identifying a virtual asset creation template associated with virtual assets to be verified. A test virtual asset is generated using the virtual asset creation template and deployed in a testing environment. The test virtual asset is then analyzed in the testing environment to identify any vulnerabilities. If a vulnerability is identified in the designated test virtual asset, a remedy to the vulnerability is applied to the virtual asset creation template which is used to create a virtual asset in a production environment. The method and system further include monitoring the production environment virtual asset for potential security threats, with a virtual asset agent, and determining a severity of identified security threats. and potentially creating a new virtual asset with the virtual asset agent and decommissioning the current virtual asset as a result.

Method and system for creating and deploying virtual assets

A trigger event monitoring system is provided in one or more virtual assets. One or more trigger parameters, including security threat patterns, are defined and trigger data is generated. The one or more trigger monitoring systems are used to monitor extrusion and intrusion capabilities and self-monitored trigger events that may harm or otherwise leave a virtual asset in a vulnerable state. In one embodiment, trigger events and monitoring of at least a portion of message traffic sent to, or sent from, the one or more virtual assets are initiated and/or performed to detect any message including one or more of the one or more of the trigger parameters. Any message meeting the one or more trigger parameters is identified as a potential security threat and is assigned a threat score, which is provided to the virtual asset. Various corrective actions may take place.

System and method for providing a self-monitoring, self-reporting, and self-repairing virtual asset configured for extrusion and intrusion detection and threat scoring in a cloud computing environment

A virtual asset testing environment is provided that is distinct from a production computing environment. A virtual asset creation template associated with a class of virtual assets to be verified is identified, each virtual asset of the class of virtual assets being created using the virtual asset creation template. A designated test virtual asset is generated using the virtual asset creation template that is deployed in the virtual asset testing environment. The designated test virtual asset is then analyzed in the virtual asset testing environment to identify any vulnerabilities in the designated test virtual asset. If a vulnerability is identified in the designated test virtual asset, a remedy to the vulnerability is applied to the virtual asset creation template, and/or virtual assets created by the virtual asset creation template deployed in the production environment.

Method and system for providing a robust and efficient virtual asset vulnerability management and verification service

A method and system for performing self-monitoring and self-healing operations from a virtual asset include receiving a first operating policy from an asset management computing environment, according to one embodiment. The method and system includes receiving a library of repairs from the asset management computing environment, according to one embodiment. The method and system includes detecting events, with the virtual asset, at least partially based on operational characteristics of the virtual asset exceeding at least one of the thresholds, according to one embodiment. The method and system includes repairing the virtual asset, with the virtual asset, using the library of repairs to return the virtual asset to the pre-determined state of operation.

Method and system for providing automated self-healing virtual assets

A method and system for protecting and repairing a current virtual asset from damage by potential security threats, according to one embodiment. The method and system include monitoring a current a current virtual asset for potential security threats, with a virtual asset agent, according to one embodiment. The method and system include determining a severity of the potential security threats that are identified by the virtual asset agent, according to one embodiment. The method and system include creating a new virtual asset with the virtual asset agent and decommissioning the current virtual asset, according to one embodiment. The system and method receiving, with the new virtual asset, secrets that are associated with the current virtual asset to enable the new virtual asset to continue operations of the current virtual asset, according to one embodiment.

Method and system for secure delivery of information to computing environments

A service provider computing environment includes a service provider computing device, which receives tenant secrets policies from tenants. The tenants are tenants of multi-tenant assets of a service provider. One or more data security zones in which the multi-tenant assets are located are identified. A service provider secrets policy includes data security jurisdiction zone secrets policy data for the one or more data security jurisdiction zones. The data security jurisdiction zone secrets policy data is analyzed to determine allowed secrets data with respect to each of the identified data security jurisdiction zones. The service provider computing environment determines of the tenant secrets policies satisfy the requirements of the service provider secrets policy. If the tenant secrets policies satisfy the requirements of the service provider secrets policy, the service provider computing environment allows the tenant secrets policies to be applied to tenant data or information in the multi-tenant assets.

Method and apparatus for multi-tenancy secrets management in multiple data security jurisdiction zones

Communications and security policy data for two or more zones is obtained that includes data indicating allowed protocols for the respective communications jurisdiction zones. Request data indicating a desired exchange of data between a secrets data source in a first zone and a requesting resource in a second zone is received/obtained. The first zone policy data and the second zone policy data is automatically obtained and analyzed to determine an allowed type of communications security level for the desired exchange of data that complies with both the first zone communications and data security policy data and the second zone policy data. A communications channel, including the allowed type of secure communications security level, is automatically establishing between the first resource and the second resource, and at least a portion of the requests secrets and/or other data is exchanged.

Method and system for automatically managing secure communications and distribution of secrets in multiple communications jurisdiction zones

Reference architecture pattern role data representing reference architecture pattern roles to be associated with entities taking part in the development, and/or deployment, and/or operation of an application is generated. Reference architecture pattern tier data representing reference architecture pattern tiers used to create, and/or deploy, and/or operate an application using the reference architecture pattern is generated. For each reference architecture pattern role at least one access and/or operational permission is associated with each reference architecture pattern tier. An entity is assigned one of the reference architecture pattern roles and for each reference architecture pattern tier, the entity is automatically provided the at least one access and/or operational permission associated with the reference architecture pattern role assigned to the entity. When a computing task is requested, permissions associated with the computing task are adjusted based on a risk level associated with performance of the requested computing task.

Method and system for providing permissions management

Secret application and maintenance policy data is generated for different classes of data. The class of data to be protected is determined and the secret application and maintenance policy data for the determined class of the data to be protected is identified and obtained. Required secrets data representing one or more secrets to be applied to the data to be protected is obtained and then automatically scheduled for application to the data to be protected in accordance with the secret application and maintenance policy data for the determined class of the data to be protected. Maintenance of the one or more secrets is also automatically scheduled in accordance with the secret application and maintenance policy data for the determined class of the data to be protected.

Method and system for automatically managing secret application and maintenance

A virtual asset creation template associated with a class of virtual assets is identified and analyzed to identify and remedy vulnerabilities in the virtual asset creation template. If no vulnerability is identified in the virtual asset creation template, or once each vulnerability identified in the virtual asset creation template is remedied, each virtual asset of the virtual asset class generated using the virtual asset creation template is assigned an initial status of verified virtual asset. Instructions are generated for monitoring and detecting one or more trigger events in assets as well as instructions for implementing at least one responsive action associated with each of the one or more trigger events. Assets monitor and detect one or more trigger events and associated responsive actions are then performed upon the trigger event being detected.

Growing community of inventors

San Marcos, CA, United States of America

M Shannon Lietz