Patents by Inventor Anay Kishore

Anay Kishore 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).

  • Cognitive device management using artificial intelligence
    Patent number: 11410034
    Abstract: Methods, apparatus, and processor-readable storage media for cognitive device management using artificial intelligence are provided herein.
    Type: Grant
    Filed: October 30, 2019
    Date of Patent: August 9, 2022
    Assignee: EMC IP Holding Company LLC
    Inventors: Parminder Singh Sethi, Hung T. Dinh, Sabu K. Syed, Anay Kishore, Kannappan Ramu
  • Alerting unusual activities in an enterprise production environment
    Patent number: 11386206
    Abstract: A system and method model activities in the production environment as sequences of microservices, and identify unusual activities by analyzing these sequences. In particular, a directed graph of usual activity is formed as a basis for determining unusual activities. Next, activities that were actually performed are determined by statistically analyzing records of microservice invocation in application diagnostic files. These activity sequences are overlaid on the directed graph to determine relative fit by using a trace coverage percentage score. Application instances or activities with low relative fit are deemed suspicious. If the low fit persists for an extended duration, then the instances or activities are deemed unusual and an individual is alerted to begin a manual review.
    Type: Grant
    Filed: September 21, 2020
    Date of Patent: July 12, 2022
    Assignee: Dell Products L.P.
    Inventors: Parminder Singh Sethi, Kanika Kapish, Anay Kishore, Kunal Visoulia
  • ALERTING UNUSUAL ACTIVITIES IN AN ENTERPRISE PRODUCTION ENVIRONMENT
    Publication number: 20220092182
    Abstract: A system and method model activities in the production environment as sequences of microservices, and identify unusual activities by analyzing these sequences. In particular, a directed graph of usual activity is formed as a basis for determining unusual activities. Next, activities that were actually performed are determined by statistically analyzing records of microservice invocation in application diagnostic files. These activity sequences are overlaid on the directed graph to determine relative fit by using a trace coverage percentage score. Application instances or activities with low relative fit are deemed suspicious. If the low fit persists for an extended duration, then the instances or activities are deemed unusual and an individual is alerted to begin a manual review.
    Type: Application
    Filed: September 21, 2020
    Publication date: March 24, 2022
    Applicant: Dell Products L.P.
    Inventors: Parminder Singh Sethi, Kanika Kapish, Anay Kishore, Kunal Visoulia
  • Cognitive Device Management Using Artificial Intelligence
    Publication number: 20210133554
    Abstract: Methods, apparatus, and processor-readable storage media for cognitive device management using artificial intelligence are provided herein.
    Type: Application
    Filed: October 30, 2019
    Publication date: May 6, 2021
    Inventors: Parminder Singh Sethi, Hung T. Dinh, Sabu K. Syed, Anay Kishore, Kannappan Ramu