Patents by Inventor Daniel Kaslovsky

Daniel Kaslovsky 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).

  • Analytics for processing information system data
    Patent number: 11777963
    Abstract: A processing pipeline for supporting machine-learning processes for network monitoring and information management as well as specific analytics for particular use cases. The processing pipeline 500 takes in system data (502) and pre-processes (504) the system data. The system data (502) may include any of the types of data described above including text log files, and categorical data from various sources. The illustrated processing pipeline 500 includes two branches; a data fitting branch (506) where a model is developed for the data and a data transformation branch (508) where the developed model is leveraged to transform live data. For certain event detection use cases, the output of the data transformation branch (508) includes a score (510) (e.g., a threat level score) and an attribution (512).
    Type: Grant
    Filed: January 18, 2018
    Date of Patent: October 3, 2023
    Assignee: LogRhythm Inc.
    Inventors: Phillip Villella, Daniel Kaslovsky, Dean Wyatte
  • PROCESSING PIPELINE FOR MONITORING INFORMATION SYSTEMS
    Publication number: 20210273955
    Abstract: A processing pipeline for supporting advanced analytics for network monitoring and information management as well as specific analytics for particular use cases. The processing pipeline 500 takes in system data (502) and pre-processes (504) the system data. The system data (502) may include any of the types of data described above including text log files, and categorical data from various sources. The illustrated processing pipeline 500 includes two branches; a data modeling branch (506) where a model is developed for the data and a data evaluation branch (508) where the developed model is leveraged to evaluate live data. For certain event detection use cases, the output of the data evaluation branch (508) includes a score (510) (e.g., a threat level score) and context information for evaluating the threat.
    Type: Application
    Filed: January 5, 2021
    Publication date: September 2, 2021
    Inventors: Phillip Villella, Ben Aldrich, Daniel Kaslovsky, Dean Wyatte
  • Processing pipeline for monitoring information systems
    Patent number: 10931694
    Abstract: A processing pipeline for supporting advanced analytics for network monitoring and information management as well as specific analytics for particular use cases. The processing pipeline 500 takes in system data (502) and pre-processes (504) the system data. The system data (502) may include any of the types of data described above including text log files, and categorical data from various sources. The illustrated processing pipeline 500 includes two branches; a data modeling branch (506) where a model is developed for the data and a data evaluation branch (508) where the developed model is leveraged to evaluate live data. For certain event detection use cases, the output of the data evaluation branch (508) includes a score (510) (e.g., a threat level score) and context information for evaluating the threat.
    Type: Grant
    Filed: January 18, 2018
    Date of Patent: February 23, 2021
    Assignee: LogRhythm Inc.
    Inventors: Phillip Villella, Ben Aldrich, Daniel Kaslovsky, Dean Wyatte
  • ANALYTICS FOR PROCESSING INFORMATION SYSTEM DATA
    Publication number: 20180248904
    Abstract: A processing pipeline for supporting machine-learning processes for network monitoring and information management as well as specific analytics for particular use cases. The processing pipeline 500 takes in system data (502) and pre-processes (504) the system data. The system data (502) may include any of the types of data described above including text log files, and categorical data from various sources. The illustrated processing pipeline 500 includes two branches; a data fitting branch (506) where a model is developed for the data and a data transformation branch (508) where the developed model is leveraged to transform live data. For certain event detection use cases, the output of the data transformation branch (508) includes a score (510) (e.g., a threat level score) and an attribution (512).
    Type: Application
    Filed: January 18, 2018
    Publication date: August 30, 2018
    Inventors: Phillip Villella, Daniel Kaslovsky, Dean Wyatte
  • PROCESSING PIPELINE FOR MONITORING INFORMATION SYSTEMS
    Publication number: 20180248903
    Abstract: A processing pipeline for supporting advanced analytics for network monitoring and information management as well as specific analytics for particular use cases. The processing pipeline 500 takes in system data (502) and pre-processes (504) the system data. The system data (502) may include any of the types of data described above including text log files, and categorical data from various sources. The illustrated processing pipeline 500 includes two branches; a data modeling branch (506) where a model is developed for the data and a data evaluation branch (508) where the developed model is leveraged to evaluate live data. For certain event detection use cases, the output of the data evaluation branch (508) includes a score (510) (e.g., a threat level score) and context information for evaluating the threat.
    Type: Application
    Filed: January 18, 2018
    Publication date: August 30, 2018
    Inventors: Phillip Villella, Ben Aldrich, Daniel Kaslovsky, Dean Wyatte