Patents by Inventor Robin MANHAS

Robin MANHAS 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).

  • Publication number: 20230014706
    Abstract: Some embodiments of the invention provide a method of implementing an intent-based intrusion detection and prevention system in a datacenter that includes at least one host computer executing multiple machines. The method forwards multiple contextual attributes to a set of servers that distribute intrusion detection scripts. The method receives, from the set of servers, a set of one or more intrusion detection scripts to be enforced on the at least one host computer, the set of one or more intrusion detection scripts defined based on the multiple forwarded contextual attributes. The method uses the multiple contextual attributes to identify and resolve at least one intrusion detection script in the set of one or more intrusion detection scripts.
    Type: Application
    Filed: July 13, 2021
    Publication date: January 19, 2023
    Inventors: Sirisha Myneni, Nafisa Mandliwala, Robin Manhas, Srinivas Ramaswamy
  • Patent number: 11463300
    Abstract: The disclosure provides an approach for remediating false positives for a network security monitoring component. Embodiments include receiving an alert related to network security for a virtual computing instance (VCI). Embodiments include collecting, in response to receiving the alert, context information from the VCI. Embodiments include providing a notification to a management plane based on the alert and the context information. Embodiments include receiving, from the management plane, in response to the notification, an indication of whether the alert is a false positive. Embodiments include training a model based on the alert, the context information, and the indication to determine whether a given alert is a false positive.
    Type: Grant
    Filed: July 13, 2020
    Date of Patent: October 4, 2022
    Assignee: VMWARE, INC.
    Inventors: Nafisa Mandliwala, Sirisha Myneni, Robin Manhas, Baibhav Singh
  • Publication number: 20220210167
    Abstract: Example methods and systems for context-aware intrusion detection are described. In one example, in response to determination that there is a matching intrusion detection signature based on packet flow information associated with a packet, a computer system may generate an intrusion detection alert that identifies the matching intrusion detection signature and the packet flow information. Further, the computer system may map the intrusion detection alert to contextual information, and generate a context-aware intrusion detection alert to trigger a context-aware remediation action based on at least the contextual information. The intrusion detection alert may be enhanced with context information associated with at least one of the following: the virtualized computing instance, a client device associated with the virtualized computing instance, and a user operating the client device.
    Type: Application
    Filed: December 30, 2020
    Publication date: June 30, 2022
    Applicant: VMware, Inc.
    Inventors: Venkatakrishnan RAJAGOPALAN, Sirisha MYNENI, Srinivas RAMASWAMY, Nafisa MANDLIWALA, Robin MANHAS
  • Publication number: 20220014425
    Abstract: The disclosure provides an approach for remediating false positives for a network security monitoring component. Embodiments include receiving an alert related to network security for a virtual computing instance (VCI). Embodiments include collecting, in response to receiving the alert, context information from the VCI. Embodiments include providing a notification to a management plane based on the alert and the context information. Embodiments include receiving, from the management plane, in response to the notification, an indication of whether the alert is a false positive. Embodiments include training a model based on the alert, the context information, and the indication to determine whether a given alert is a false positive.
    Type: Application
    Filed: July 13, 2020
    Publication date: January 13, 2022
    Inventors: Nafisa MANDLIWALA, Sirisha MYNENI, Robin MANHAS, Baibhav SINGH