Patents by Inventor Jeffrey Heuer
Jeffrey Heuer 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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Publication number: 20220207152Abstract: Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.Type: ApplicationFiled: March 14, 2022Publication date: June 30, 2022Inventors: Edward T. Bellis, Michael Roytman, Jeffrey Heuer
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Patent number: 11275844Abstract: Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.Type: GrantFiled: August 31, 2020Date of Patent: March 15, 2022Assignee: KENNA SECURITY LLCInventors: Edward T. Bellis, Michael Roytman, Jeffrey Heuer
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Publication number: 20200401704Abstract: Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.Type: ApplicationFiled: August 31, 2020Publication date: December 24, 2020Inventors: Edward T. Bellis, Michael Roytman, Jeffrey Heuer
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Patent number: 10762212Abstract: Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.Type: GrantFiled: October 12, 2018Date of Patent: September 1, 2020Assignee: Kenna Security, Inc.Inventors: Edward T. Bellis, Michael Roytman, Jeffrey Heuer
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Publication number: 20190163917Abstract: Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.Type: ApplicationFiled: October 12, 2018Publication date: May 30, 2019Inventors: Edward T. Bellis, Michael Roytman, Jeffrey Heuer
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Patent number: 10305925Abstract: Techniques for ranking a set of vulnerabilities of a computing asset and set of remediations for a computing asset, and determining a risk score for one or more computing assets are provided. In one technique, vulnerabilities of computing assets in a customer network are received at a vulnerability intelligence platform. Breach data indicating set of breaches that occurred outside customer network is also received. A subset of the set of vulnerabilities that are most vulnerable to a breach is identified based on the breach data. In another technique, multiple vulnerabilities of a computing asset are determined. A risk score is generated for the computing asset based on the vulnerabilities. In another technique, multiple remediations associated with a risk score and multiple vulnerabilities are identified. The remediations are ordered based on the remediations that would reduce the risk score the most if those remediations were applied to remove the corresponding vulnerabilities.Type: GrantFiled: November 20, 2017Date of Patent: May 28, 2019Assignee: Kenna Security, Inc.Inventors: Michael Roytman, Edward T. Bellis, Jeffrey Heuer
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Patent number: 10114954Abstract: Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.Type: GrantFiled: November 30, 2017Date of Patent: October 30, 2018Assignee: Kenna Security, Inc.Inventors: Edward T. Bellis, Michael Roytman, Jeffrey Heuer
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Publication number: 20180077193Abstract: Techniques for ranking a set of vulnerabilities of a computing asset and set of remediations for a computing asset, and determining a risk score for one or more computing assets are provided. In one technique, vulnerabilities of computing assets in a customer network are received at a vulnerability intelligence platform. Breach data indicating set of breaches that occurred outside customer network is also received. A subset of the set of vulnerabilities that are most vulnerable to a breach is identified based on the breach data. In another technique, multiple vulnerabilities of a computing asset are determined. A risk score is generated for the computing asset based on the vulnerabilities. In another technique, multiple remediations associated with a risk score and multiple vulnerabilities are identified. The remediations are ordered based on the remediations that would reduce the risk score the most if those remediations were applied to remove the corresponding vulnerabilities.Type: ApplicationFiled: November 20, 2017Publication date: March 15, 2018Inventors: Michael Roytman, Edward T. Bellis, Jeffrey Heuer
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Patent number: 9825981Abstract: Techniques for ranking a set of vulnerabilities of a computing asset and set of remediations for a computing asset, and determining a risk score for one or more computing assets are provided. In one technique, vulnerabilities of computing assets in a customer network are received at a vulnerability intelligence platform. Breach data indicating set of breaches that occurred outside customer network is also received. A subset of the set of vulnerabilities that are most vulnerable to a breach is identified based on the breach data. In another technique, multiple vulnerabilities of a computing asset are determined. A risk score is generated for the computing asset based on the vulnerabilities. In another technique, multiple remediations associated with a risk score and multiple vulnerabilities are identified. The remediations are ordered based on the remediations that would reduce the risk score the most if those remediations were applied to remove the corresponding vulnerabilities.Type: GrantFiled: November 16, 2015Date of Patent: November 21, 2017Assignee: Kenna Security, Inc.Inventors: Michael Roytman, Edward T. Bellis, Jeffrey Heuer
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Publication number: 20160072835Abstract: Techniques for ranking a set of vulnerabilities of a computing asset and set of remediations for a computing asset, and determining a risk score for one or more computing assets are provided. In one technique, vulnerabilities of computing assets in a customer network are received at a vulnerability intelligence platform. Breach data indicating set of breaches that occurred outside customer network is also received. A subset of the set of vulnerabilities that are most vulnerable to a breach is identified based on the breach data. In another technique, multiple vulnerabilities of a computing asset are determined. A risk score is generated for the computing asset based on the vulnerabilities. In another technique, multiple remediations associated with a risk score and multiple vulnerabilities are identified. The remediations are ordered based on the remediations that would reduce the risk score the most if those remediations were applied to remove the corresponding vulnerabilities.Type: ApplicationFiled: November 16, 2015Publication date: March 10, 2016Inventors: Michael Roytman, Edward T. Bellis, Jeffrey Heuer
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Patent number: 9270695Abstract: Techniques for ranking a set of vulnerabilities of a computing asset and set of remediations for a computing asset, and determining a risk score for one or more computing assets are provided. In one technique, vulnerabilities of computing assets in a customer network are received at a vulnerability intelligence platform. Breach data indicating set of breaches that occurred outside customer network is also received. A subset of the set of vulnerabilities that are most vulnerable to a breach is identified based on the breach data. In another technique, multiple vulnerabilities of a computing asset are determined. A risk score is generated for the computing asset based on the vulnerabilities. In another technique, multiple remediations associated with a risk score and multiple vulnerabilities are identified. The remediations are ordered based on the remediations that would reduce the risk score the most if those remediations were applied to remove the corresponding vulnerabilities.Type: GrantFiled: March 9, 2015Date of Patent: February 23, 2016Assignee: Risk I/O, Inc.Inventors: Michael Roytman, Edward T. Bellis, Jeffrey Heuer
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Publication number: 20150237065Abstract: Techniques for ranking a set of vulnerabilities of a computing asset and set of remediations for a computing asset, and determining a risk score for one or more computing assets are provided. In one technique, vulnerabilities of computing assets in a customer network are received at a vulnerability intelligence platform. Breach data indicating set of breaches that occurred outside customer network is also received. A subset of the set of vulnerabilities that are most vulnerable to a breach is identified based on the breach data. In another technique, multiple vulnerabilities of a computing asset are determined. A risk score is generated for the computing asset based on the vulnerabilities. In another technique, multiple remediations associated with a risk score and multiple vulnerabilities are identified. The remediations are ordered based on the remediations that would reduce the risk score the most if those remediations were applied to remove the corresponding vulnerabilities.Type: ApplicationFiled: March 9, 2015Publication date: August 20, 2015Inventors: MICHAEL ROYTMAN, EDWARD T. BELLIS, JEFFREY HEUER
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Publication number: 20150237062Abstract: Techniques for ranking a set of vulnerabilities of a computing asset and set of remediations for a computing asset, and determining a risk score for one or more computing assets are provided. In one technique, vulnerabilities of computing assets in a customer network are received at a vulnerability intelligence platform. Breach data indicating set of breaches that occurred outside customer network is also received. A subset of the set of vulnerabilities that are most vulnerable to a breach is identified based on the breach data. In another technique, multiple vulnerabilities of a computing asset are determined. A risk score is generated for the computing asset based on the vulnerabilities. In another technique, multiple remediations associated with a risk score and multiple vulnerabilities are identified. The remediations are ordered based on the remediations that would reduce the risk score the most if those remediations were applied to remove the corresponding vulnerabilities.Type: ApplicationFiled: February 14, 2014Publication date: August 20, 2015Applicant: Risk I/O, Inc.Inventors: Michael Roytman, Edward T. Bellis, Jeffrey Heuer
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Patent number: 8984643Abstract: Techniques for ranking a set of vulnerabilities of a computing asset and set of remediations for a computing asset, and determining a risk score for one or more computing assets are provided. In one technique, vulnerabilities of computing assets in a customer network are received at a vulnerability intelligence platform. Breach data indicating set of breaches that occurred outside customer network is also received. A subset of the set of vulnerabilities that are most vulnerable to a breach is identified based on the breach data. In another technique, multiple vulnerabilities of a computing asset are determined. A risk score is generated for the computing asset based on the vulnerabilities. In another technique, multiple remediations associated with a risk score and multiple vulnerabilities are identified. The remediations are ordered based on the remediations that would reduce the risk score the most if those remediations were applied to remove the corresponding vulnerabilities.Type: GrantFiled: February 14, 2014Date of Patent: March 17, 2015Assignee: Risk I/O, Inc.Inventors: Michael Krisher, Edward T. Bellis, Jeffrey Heuer
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Patent number: 8966639Abstract: Techniques for ranking a set of vulnerabilities of a computing asset and set of remediations for a computing asset, and determining a risk score for one or more computing assets are provided. In one technique, vulnerabilities of computing assets in a customer network are received at a vulnerability intelligence platform. Breach data indicating set of breaches that occurred outside customer network is also received. A subset of the set of vulnerabilities that are most vulnerable to a breach is identified based on the breach data. In another technique, multiple vulnerabilities of a computing asset are determined. A risk score is generated for the computing asset based on the vulnerabilities. In another technique, multiple remediations associated with a risk score and multiple vulnerabilities are identified. The remediations are ordered based on the remediations that would reduce the risk score the most if those remediations were applied to remove the corresponding vulnerabilities.Type: GrantFiled: February 14, 2014Date of Patent: February 24, 2015Assignee: Risk I/O, Inc.Inventors: Michael Roytman, Edward T. Bellis, Jeffrey Heuer