Patents by Inventor Matthew Maisel
Matthew Maisel 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).
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Patent number: 12170680Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.Type: GrantFiled: February 12, 2020Date of Patent: December 17, 2024Assignee: Obsidian Security, Inc.Inventors: Matt Wolff, Alexander Vandenberg-Rodes, Naresh Chebolu, Marcus Mccurdy, Matthew Maisel, Jody Forness, Jedidiah Mitten, Noah Corradin, Samantha Staszak, David Newhall, Christopher Galbraith, Christopher Fuller, Brian Lau, Benjamin Johnson
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Publication number: 20220131883Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.Type: ApplicationFiled: February 12, 2020Publication date: April 28, 2022Inventors: Matt Wolff, Alexander Vandenberg-Rodes, Naresh Chebolu, Marcus Mccurdy, Matthew Maisel, Jody Forness, Jedidiah Mitten, Noah Corradin, Samantha Staszak, David Newhall, Christopher Galbraith, Christopher Fuller, Brian Lau, Benjamin Johnson
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Patent number: 11126719Abstract: In one respect, there is provided a system for classifying malware. The system may include a data processor and a memory. The memory may include program code that provides operations when executed by the processor. The operations may include: providing, to a display, contextual information associated with a file to at least enable a classification of the file, when a malware classifier is unable to classify the file; receiving, in response to the providing of the contextual information, the classification of the file; and updating, based at least on the received classification of the file, the malware classifier to enable the malware classifier to classify the file. Methods and articles of manufacture, including computer program products, are also provided.Type: GrantFiled: May 31, 2019Date of Patent: September 21, 2021Assignee: Cylance Inc.Inventors: Matthew Maisel, Ryan Permeh, Matthew Wolff, Gabriel Acevedo, Andrew Davis, John Brock, Homer Valentine Strong, Michael Wojnowicz, Kevin Beets
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Patent number: 10931699Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.Type: GrantFiled: February 12, 2020Date of Patent: February 23, 2021Assignee: Obsidian Security, Inc.Inventors: Matt Wolff, Alexander Vandenberg-Rodes, Naresh Chebolu, Marcus Mccurdy, Matthew Maisel, Jody Forness, Jedidiah Mitten, Noah Corradin, Samantha Staszak, David Newhall, Christopher Galbraith, Christopher Fuller, Brian Lau, Benjamin Johnson
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Publication number: 20200259852Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.Type: ApplicationFiled: February 12, 2020Publication date: August 13, 2020Inventors: Matt Wolff, Alexander Vandenberg-Rodes, Naresh Chebolu, Marcus Mccurdy, Matthew Maisel, Jody Forness, Jedidiah Mitten, Noah Corradin, Samantha Staszak, David Newhall, Christopher Galbraith, Christopher Fuller, Brian Lau, Benjamin Johnson
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Publication number: 20190286819Abstract: In one respect, there is provided a system for classifying malware. The system may include a data processor and a memory. The memory may include program code that provides operations when executed by the processor. The operations may include: providing, to a display, contextual information associated with a file to at least enable a classification of the file, when a malware classifier is unable to classify the file; receiving, in response to the providing of the contextual information, the classification of the file; and updating, based at least on the received classification of the file, the malware classifier to enable the malware classifier to classify the file. Methods and articles of manufacture, including computer program products, are also provided.Type: ApplicationFiled: May 31, 2019Publication date: September 19, 2019Inventors: Matthew Maisel, Ryan Permeh, Matthew Wolff, Gabriel Acevedo, Andrew Davis, John Brock, Homer Valentine Strong, Michael Wojnowicz, Kevin Beets
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Patent number: 10360380Abstract: In one respect, there is provided a system for classifying malware. The system may include a data processor and a memory. The memory may include program code that provides operations when executed by the processor. The operations may include: providing, to a display, contextual information associated with a file to at least enable a classification of the file, when a malware classifier is unable to classify the file; receiving, in response to the providing of the contextual information, the classification of the file; and updating, based at least on the received classification of the file, the malware classifier to enable the malware classifier to classify the file. Methods and articles of manufacture, including computer program products, are also provided.Type: GrantFiled: January 19, 2017Date of Patent: July 23, 2019Assignee: Cylance Inc.Inventors: Matthew Maisel, Ryan Permeh, Matthew Wolff, Gabriel Acevedo, Andrew Davis, John Brock, Homer Strong, Michael Wojnowicz, Kevin Beets
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Publication number: 20180203998Abstract: In one respect, there is provided a system for classifying malware. The system may include a data processor and a memory. The memory may include program code that provides operations when executed by the processor. The operations may include: providing, to a display, contextual information associated with a file to at least enable a classification of the file, when a malware classifier is unable to classify the file; receiving, in response to the providing of the contextual information, the classification of the file; and updating, based at least on the received classification of the file, the malware classifier to enable the malware classifier to classify the file. Methods and articles of manufacture, including computer program products, are also provided.Type: ApplicationFiled: January 19, 2017Publication date: July 19, 2018Inventors: Matthew Maisel, Ryan Permeh, Matthew Wolff, Gabriel Acevedo, Andrew Davis, John Brock, Homer Strong, Michael Wojnowicz, Kevin Beets