Patents by Inventor Anand Paturi
Anand Paturi 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: 11961021Abstract: An apparatus and method for cyber risk quantification calculated from the likelihood of a cyber-attack on the target enterprise and/or cyber ecosystem based on its security posture. The cyber-attack likelihood can be derived as a probability-based time-to-event (TTE) measure using survivor function analysis. The likelihood probability measure can also be passed to cyber risk frameworks to determine financial impacts of the cyber-attacks. Embodiments of the present invention also relate to an apparatus and method (1) to identify and validate application attack surfaces and protect web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks; and/or (2) that protects web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks. This can include implementing an intelligent learning loop using artificial intelligence that creates an ontology-based knowledge base from application request and response sequences.Type: GrantFiled: July 17, 2020Date of Patent: April 16, 2024Assignee: Ivanti, Inc.Inventors: Anand Paturi, Srinivas Mukkamala
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Publication number: 20230412631Abstract: Disclosed embodiments include receiving network data associated with a first system of a network. The network data may comprise first data, second data, third data, fourth data, fifth data, and sixth data. The method may quantify, the first data, the second data, the third data, the fourth data, the fifth data, and the sixth data. The method may further determine, a risk parameter based on the quantifying. The method may generate, a vulnerability risk profile for a vulnerability based on the risk parameter. The vulnerability profile may indicate a security weakness of the first system or the second system. The method may determine, based on the security weakness of the first system or the second system, a remediation protocol for minimizing the security weakness of the first system of the network or the second system of the network.Type: ApplicationFiled: June 20, 2022Publication date: December 21, 2023Inventors: Mehul Krishnanand Revankar, Sumedh S. Thakar, Anand Paturi
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Publication number: 20230412630Abstract: Disclosed are methods and systems for assessing system risks associated with one or more assets coupled to a network and mitigating against said system risks. According to one implementation, a method for assessing a system risk comprises receiving network data associated with a first asset communicatively coupled to a network, quantifying the network data, and generating a risk parameter using the quantified network data and vulnerability data associated with the network. The method further comprises determining, based on the risk parameter that a security risk of a first asset of the network is higher than the security risk of a second asset of the network. Upon this determining, the method initiates remediation operations that first secure the first asset on the network against a security breach to the network.Type: ApplicationFiled: June 20, 2022Publication date: December 21, 2023Inventors: Mehul Krishnanand Revankar, Sumedh S. Thakar, Anand Paturi
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Patent number: 11190538Abstract: An apparatus and method for cyber risk quantification calculated from the likelihood of a cyber-attack on the target enterprise and/or cyber ecosystem based on its security posture. The cyber-attack likelihood can be derived as a probability-based time-to-event (TTE) measure using survivor function analysis. The likelihood probability measure can also be passed to cyber risk frameworks to determine financial impacts of the cyber-attacks. Embodiments of the present invention also relate to an apparatus and method (1) to identify and validate application attack surfaces and protect web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks; and/or (2) that protects web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks. This can include implementing an intelligent learning loop using artificial intelligence that creates an ontology-based knowledge base from application request and response sequences.Type: GrantFiled: January 18, 2019Date of Patent: November 30, 2021Assignee: RiskSense, Inc.Inventors: Anand Paturi, Srinivas Mukkamala
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Patent number: 11050778Abstract: An apparatus and method for cyber risk quantification calculated from the likelihood of a cyber-attack on the target enterprise and/or cyber ecosystem based on its security posture. The cyber-attack likelihood can be derived as a probability-based time-to-event (TTE) measure using survivor function analysis. The likelihood probability measure can also be passed to cyber risk frameworks to determine financial impacts of the cyber-attacks. Embodiments of the present invention also relate to an apparatus and method (1) to identify and validate application attack surfaces and protect web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks; and/or (2) that protects web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks. This can include implementing an intelligent learning loop using artificial intelligence that creates an ontology-based knowledge base from application request and response sequences.Type: GrantFiled: July 17, 2020Date of Patent: June 29, 2021Assignee: RiskSense, Inc.Inventors: Anand Paturi, Srinivas Mukkamala, Caleb Hightower
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Publication number: 20200396244Abstract: An apparatus and method for cyber risk quantification calculated from the likelihood of a cyber-attack on the target enterprise and/or cyber ecosystem based on its security posture. The cyber-attack likelihood can be derived as a probability-based time-to-event (TTE) measure using survivor function analysis. The likelihood probability measure can also be passed to cyber risk frameworks to determine financial impacts of the cyber-attacks. Embodiments of the present invention also relate to an apparatus and method (1) to identify and validate application attack surfaces and protect web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks; and/or (2) that protects web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks. This can include implementing an intelligent learning loop using artificial intelligence that creates an ontology-based knowledge base from application request and response sequences.Type: ApplicationFiled: January 18, 2019Publication date: December 17, 2020Applicant: RiskSense, Inc.Inventors: Anand Paturi, Srinivas Mukkamala
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Publication number: 20200356663Abstract: An apparatus and method for cyber risk quantification calculated from the likelihood of a cyber-attack on the target enterprise and/or cyber ecosystem based on its security posture. The cyber-attack likelihood can be derived as a probability-based time-to-event (TTE) measure using survivor function analysis. The likelihood probability measure can also be passed to cyber risk frameworks to determine financial impacts of the cyber-attacks. Embodiments of the present invention also relate to an apparatus and method (1) to identify and validate application attack surfaces and protect web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks; and/or (2) that protects web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks. This can include implementing an intelligent learning loop using artificial intelligence that creates an ontology-based knowledge base from application request and response sequences.Type: ApplicationFiled: July 17, 2020Publication date: November 12, 2020Applicant: RiskSense, Inc.Inventors: Anand Paturi, Srinivas Mukkamala
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Publication number: 20200351298Abstract: An apparatus and method for cyber risk quantification calculated from the likelihood of a cyber-attack on the target enterprise and/or cyber ecosystem based on its security posture. The cyber-attack likelihood can be derived as a probability-based time-to-event (TTE) measure using survivor function analysis. The likelihood probability measure can also be passed to cyber risk frameworks to determine financial impacts of the cyber-attacks. Embodiments of the present invention also relate to an apparatus and method (1) to identify and validate application attack surfaces and protect web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks; and/or (2) that protects web applications against business logic-based attacks, sensitive data leakage and privilege escalation attacks. This can include implementing an intelligent learning loop using artificial intelligence that creates an ontology-based knowledge base from application request and response sequences.Type: ApplicationFiled: July 17, 2020Publication date: November 5, 2020Applicant: RiskSense, Inc.Inventors: Anand Paturi, Srinivas Mukkamala, Caleb Hightower