Patents by Inventor Jeshua Alexis Bratman
Jeshua Alexis Bratman 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: 11971985Abstract: Adapting detection of security threats, including by retraining computer-implemented models is disclosed. An indication is received that a natural language processing model should be retrained. A list of training samples is generated that includes at least one synthetic training sample. The natural language processing model is retrained at least in part by using the set of generated training samples. The retrained natural language processing model is used to determine a likelihood that a message poses a risk.Type: GrantFiled: July 22, 2022Date of Patent: April 30, 2024Assignee: Abnormal Security CorporationInventors: Lei Xu, Jeshua Alexis Bratman
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Patent number: 11973772Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.Type: GrantFiled: February 22, 2022Date of Patent: April 30, 2024Assignee: Abnormal Security CorporationInventors: Sanjay Jeyakumar, Jeshua Alexis Bratman, Dmitry Chechik, Abhijit Bagri, Evan Reiser, Sanny Xiao Lang Liao, Yu Zhou Lee, Carlos Daniel Gasperi, Kevin Lau, Kai Jiang, Su Li Debbie Tan, Jeremy Kao, Cheng-Lin Yeh
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Patent number: 11831661Abstract: A plurality of features associated with a message are determined. At least one feature included in the plurality of features is associated with a payload of the message. A determination is made that supplemental analysis should be performed on the message. The determination is based at least in part on performing behavioral analysis using at least some of the features included in the plurality of features. Supplemental analysis is performed.Type: GrantFiled: June 2, 2022Date of Patent: November 28, 2023Assignee: Abnormal Security CorporationInventors: Yu Zhou Lee, Micah J. Zirn, Umut Gultepe, Jeshua Alexis Bratman, Michael Douglas Kralka, Cheng-Lin Yeh, Dmitry Chechik, Sanjay Jeyakumar
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Patent number: 11824870Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.Type: GrantFiled: November 4, 2019Date of Patent: November 21, 2023Assignee: Abnormal Security CorporationInventors: Sanjay Jeyakumar, Jeshua Alexis Bratman, Dmitry Chechik, Abhijit Bagri, Evan James Reiser, Sanny Xiao Yang Liao, Yu Zhou Lee, Carlos Daniel Gasperi, Kevin Lau, Kai Jing Jiang, Su Li Debbie Tan, Jeremy Kao, Cheng-Lin Yeh
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Patent number: 11790060Abstract: Introduced here are computer programs and computer-implemented techniques for building, training, or otherwise developing models of the behavior of employees across more than one channel used for communication. These models can be stored in profiles that are associated with the employees. At a high level, these profiles allow behavior to be monitored across multiple channels so that deviations can be detected and then examined. Moreover, remediation may be performed if an account is determined to be compromised based on its recent activity.Type: GrantFiled: March 2, 2021Date of Patent: October 17, 2023Assignee: Abnormal Security CorporationInventors: Rami Faris Habal, Abhijit Bagri, Yea So Jung, Fang Shuo Deng, Jeremy Kao, Jeshua Alexis Bratman, Umut Gultepe, Hariank Sagar Muthakana
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Patent number: 11743294Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.Type: GrantFiled: June 28, 2021Date of Patent: August 29, 2023Assignee: Abnormal Security CorporationInventors: Sanjay Jeyakumar, Jeshua Alexis Bratman, Dmitry Chechik, Abhijit Bagri, Evan James Reiser, Sanny Xiao Yang Liao, Yu Zhou Lee, Carlos Daniel Gasperi, Kevin Lau, Kai Jing Jiang, Su Li Debbie Tan, Jeremy Kao, Cheng-Lin Yeh
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Patent number: 11704406Abstract: Deriving and surfacing insights regarding security threats is disclosed. A plurality of features associated with a message is determined. A plurality of facet models is used to analyze the determined features. Based at least in part on the analysis, it is determined that the message poses a security threat. A prioritized set of information is determined to be provided as output that is representative of why the message was determined to pose a security threat. At least a portion of the prioritized set of information is provided as output.Type: GrantFiled: September 12, 2022Date of Patent: July 18, 2023Assignee: Abnormal Security CorporationInventors: Yu Zhou Lee, Kai Jiang, Su Li Debbie Tan, Geng Sng, Cheng-Lin Yeh, Lawrence Stockton Moore, Sanny Xiao Lang Liao, Joey Esteban Cerquera, Jeshua Alexis Bratman, Sanjay Jeyakumar, Nishant Bhalchandra Karandikar
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Patent number: 11706247Abstract: Techniques for detecting instances of external fraud by monitoring digital activities that are performed with accounts associated with an enterprise are disclosed. In one example, a threat detection platform determines the likelihood that an incoming email is indicative of external fraud based on the context and content of the incoming email. To understand the risk posed by an incoming email, the threat detection platform may seek to determine not only whether the sender normally communicates with the recipient, but also whether the topic is one normally discussed by the sender and recipient. In this way, the threat detection platform can establish whether the incoming email deviates from past emails exchanged between the sender and recipient.Type: GrantFiled: July 29, 2022Date of Patent: July 18, 2023Assignee: Abnormal Security CorporationInventors: Yu Zhou Lee, Lawrence Stockton Moore, Jeshua Alexis Bratman, Lei Xu, Sanjay Jeyakumar
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Publication number: 20230224329Abstract: Techniques for detecting instances of external fraud by monitoring digital activities that are performed with accounts associated with an enterprise are disclosed. In one example, a threat detection platform determines the likelihood that an incoming email is indicative of external fraud based on the context and content of the incoming email. To understand the risk posed by an incoming email, the threat detection platform may seek to determine not only whether the sender normally communicates with the recipient, but also whether the topic is one normally discussed by the sender and recipient. In this way, the threat detection platform can establish whether the incoming email deviates from past emails exchanged between the sender and recipient.Type: ApplicationFiled: March 15, 2023Publication date: July 13, 2023Inventors: Yu Zhou Lee, Lawrence Stockton Moore, Jeshua Alexis Bratman, Lei Xu, Sanjay Jeyakumar
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Patent number: 11687648Abstract: Deriving and surfacing insights regarding security threats is disclosed. A plurality of features associated with a message is determined. A plurality of facet models is used to analyze the determined features. Based at least in part on the analysis, it is determined that the message poses a security threat. A prioritized set of information is determined to be provided as output that is representative of why the message was determined to pose a security threat. At least a portion of the prioritized set of information is provided as output.Type: GrantFiled: December 9, 2021Date of Patent: June 27, 2023Assignee: Abnormal Security CorporationInventors: Yu Zhou Lee, Kai Jiang, Su Li Debbie Tan, Geng Sng, Cheng-Lin Yeh, Lawrence Stockton Moore, Sanny Xiao Lang Liao, Joey Esteban Cerquera, Jeshua Alexis Bratman, Sanjay Jeyakumar, Nishant Bhalchandra Karandikar
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Patent number: 11683284Abstract: Techniques for identifying and processing graymail are disclosed. An electronic message store is accessed. A determination is made that a first message included in the electronic message store represents graymail, including by accessing a profile associated with an addressee of the first message. A remedial action is taken in response to determining that the first message represents graymail.Type: GrantFiled: May 12, 2022Date of Patent: June 20, 2023Assignee: Abnormal Security CorporationInventors: Rami F. Habal, Kevin Lau, Sharan Dev Sankar, Yea So Jung, Dhruv Purushottam, Venkat Krishnamoorthi, Franklin X. Wang, Jeshua Alexis Bratman, Jocelyn Mikael Raphael Beauchesne, Abhijit Bagri, Sanjay Jeyakumar
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Patent number: 11663303Abstract: Techniques for building, training, or otherwise developing models of the behavior of employees across more than one channel used for communication are disclosed. These models can be stored in profiles that are associated with the employees. Such profiles allow behavior to be monitored across multiple channels so that deviations can be detected and then examined. Remediation can be performed if an account is determined to be compromised based on its recent activity.Type: GrantFiled: July 9, 2022Date of Patent: May 30, 2023Assignee: Abnormal Security CorporationInventors: Rami Faris Habal, Abhijit Bagri, Yea So Jung, Fang Shuo Deng, Jeremy Kao, Jeshua Alexis Bratman, Umut Gultepe, Hariank Sagar Muthakana
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Publication number: 20230039382Abstract: Adapting detection of security threats, including by retraining computer-implemented models is disclosed. An indication is received that a natural language processing model should be retrained. A list of training samples is generated that includes at least one synthetic training sample. The natural language processing model is retrained at least in part by using the set of generated training samples. The retrained natural language processing model is used to determine a likelihood that a message poses a risk.Type: ApplicationFiled: July 22, 2022Publication date: February 9, 2023Inventors: Lei Xu, Jeshua Alexis Bratman
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Publication number: 20230020623Abstract: Deriving and surfacing insights regarding security threats is disclosed. A plurality of features associated with a message is determined. A plurality of facet models is used to analyze the determined features. Based at least in part on the analysis, it is determined that the message poses a security threat. A prioritized set of information is determined to be provided as output that is representative of why the message was determined to pose a security threat. At least a portion of the prioritized set of information is provided as output.Type: ApplicationFiled: September 12, 2022Publication date: January 19, 2023Inventors: Yu Zhou Lee, Kai Jiang, Su Li Debbie Tan, Geng Sng, Cheng-Lin Yeh, Lawrence Stockton Moore, Sanny Xiao Lang Liao, Joey Esteban Cerquera, Jeshua Alexis Bratman, Sanjay Jeyakumar, Nishant Bhalchandra Karandikar
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Patent number: 11552969Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.Type: GrantFiled: October 11, 2021Date of Patent: January 10, 2023Assignee: Abnormal Security CorporationInventors: Sanjay Jeyakumar, Jeshua Alexis Bratman, Dmitry Chechik, Abhijit Bagri, Evan Reiser, Sanny Xiao Lang Liao, Yu Zhou Lee, Carlos Daniel Gasperi, Kevin Lau, Kai Jing Jiang, Su Li Debbie Tan, Jeremy Kao, Cheng-Lin Yeh
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Publication number: 20220407887Abstract: Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.Type: ApplicationFiled: August 24, 2022Publication date: December 22, 2022Inventors: Jeshua Alexis Bratman, Yu Zhou Lee, Lawrence Stockton Moore, Rami Faris Habal, Lei Xu
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Patent number: 11528242Abstract: Techniques for identifying and processing graymail are disclosed. An electronic message store is accessed. A determination is made that a first message included in the electronic message store represents graymail, including by accessing a profile associated with an addressee of the first message. A remedial action is taken in response to determining that the first message represents graymail.Type: GrantFiled: October 25, 2021Date of Patent: December 13, 2022Assignee: Abnormal Security CorporationInventors: Rami F. Habal, Kevin Lau, Sharan Dev Sankar, Yea So Jung, Dhruv Purushottam, Venkat Krishnamoorthi, Franklin X. Wang, Jeshua Alexis Bratman, Jocelyn Mikael Raphael Beauchesne, Abhijit Bagri, Sanjay Jeyakumar
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Publication number: 20220394047Abstract: A plurality of features associated with a message are determined. At least one feature included in the plurality of features is associated with a payload of the message. A determination is made that supplemental analysis should be performed on the message. The determination is based at least in part on performing behavioral analysis using at least some of the features included in the plurality of features. Supplemental analysis is performed.Type: ApplicationFiled: June 2, 2022Publication date: December 8, 2022Inventors: Yu Zhou Lee, Micah J. Zirn, Umut Gultepe, Jeshua Alexis Bratman, Michael Douglas Kralka, Cheng-Lin Yeh, Dmitry Chechik, Sanjay Jeyakumar
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Publication number: 20220368718Abstract: Techniques for detecting instances of external fraud by monitoring digital activities that are performed with accounts associated with an enterprise are disclosed. In one example, a threat detection platform determines the likelihood that an incoming email is indicative of external fraud based on the context and content of the incoming email. To understand the risk posed by an incoming email, the threat detection platform may seek to determine not only whether the sender normally communicates with the recipient, but also whether the topic is one normally discussed by the sender and recipient. In this way, the threat detection platform can establish whether the incoming email deviates from past emails exchanged between the sender and recipient.Type: ApplicationFiled: July 29, 2022Publication date: November 17, 2022Inventors: Yu Zhou Lee, Lawrence Stockton Moore, Jeshua Alexis Bratman, Lei Xu, Sanjay Jeyakumar
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Patent number: 11496505Abstract: Techniques for detecting instances of external fraud by monitoring digital activities that are performed with accounts associated with an enterprise are disclosed. In one example, a threat detection platform determines the likelihood that an incoming email is indicative of external fraud based on the context and content of the incoming email. To understand the risk posed by an incoming email, the threat detection platform may seek to determine not only whether the sender normally communicates with the recipient, but also whether the topic is one normally discussed by the sender and recipient. In this way, the threat detection platform can establish whether the incoming email deviates from past emails exchanged between the sender and recipient.Type: GrantFiled: September 30, 2021Date of Patent: November 8, 2022Assignee: Abnormal Security CorporationInventors: Yu Zhou Lee, Lawrence Stockton Moore, Jeshua Alexis Bratman, Lei Xu, Sanjay Jeyakumar