Patents by Inventor Ravi Prasad

Ravi Prasad 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).

  • EVENT INFORMATION ACCESS INTERFACE IN DATA INTAKE STAGE OF A DISTRIBUTED DATA PROCESSING SYSTEM
    Publication number: 20180146000
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: January 2, 2018
    Publication date: May 24, 2018
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • IDENTITY RESOLUTION IN DATA INTAKE OF A DISTRIBUTED DATA PROCESSING SYSTEM
    Publication number: 20180069888
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: October 31, 2017
    Publication date: March 8, 2018
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • Network security system with real-time and batch paths
    Patent number: 9900332
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Grant
    Filed: June 7, 2017
    Date of Patent: February 20, 2018
    Assignee: SPLUNK INC.
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • Identity resolution in data intake stage of machine data processing platform
    Patent number: 9838410
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Grant
    Filed: October 30, 2015
    Date of Patent: December 5, 2017
    Assignee: Splunk Inc.
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • Network security analysis using real-time and batch detection engines
    Patent number: 9813435
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Grant
    Filed: January 25, 2017
    Date of Patent: November 7, 2017
    Assignee: Splunk Inc.
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • Network Security System with Real-Time and Batch Paths
    Publication number: 20170272458
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: June 7, 2017
    Publication date: September 21, 2017
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • Barrier layer stacks and methods and compositions thereof
    Patent number: 9752053
    Abstract: A barrier layer stack is described. The barrier layer stack includes: (i) a barrier material including defects; (ii) a seal covering the defects of the barrier material; and (iii) wherein, in an operational state of the barrier layer stack, presence of the seal reduces or prevents diffusion of vapor and/or gas molecules through the defects of the barrier material.
    Type: Grant
    Filed: August 30, 2013
    Date of Patent: September 5, 2017
    Assignee: Vitriflex, Inc.
    Inventor: Ravi Prasad
  • Network security system
    Patent number: 9699205
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Grant
    Filed: August 31, 2015
    Date of Patent: July 4, 2017
    Assignee: Splunk Inc.
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • EVENT SPECIFIC RELATIONSHIP GRAPH GENERATION AND APPLICATION IN A MACHINE DATA PROCESSING PLATFORM
    Publication number: 20170142140
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: January 27, 2017
    Publication date: May 18, 2017
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • Dual-Path Distributed Architecture for Network Security Analysis
    Publication number: 20170134410
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: January 25, 2017
    Publication date: May 11, 2017
    Inventors: SUDHAKAR MUDDU, CHRISTOS TRYFONAS, RAVI PRASAD BULUSU
  • ELECTRONIC DEVICE AND METHOD OF DISPLAYING PLURALITY OF ITEMS
    Publication number: 20170102838
    Abstract: An electronic device and a method of displaying one or more items are provided. The electronic device includes a display, and at least one processor configured to control for displaying at least one of a first menu and a second menu on the display, receiving a touch gesture connecting a first point and a second point, wherein the first point is a location corresponding to a first parameter that is one of a plurality of parameters included in the first menu and the second point is a location corresponding to a second parameter that is one of a plurality of parameters included in the second menu related to the first menu, and controlling a first input of selecting the first parameter and a second input of selecting the second parameter to be performed based on the touch gesture.
    Type: Application
    Filed: September 1, 2016
    Publication date: April 13, 2017
    Inventors: Tanusri ROY, Ravi Prasad RK, Syam SIDHARDHAN
  • Event mini-graphs in data intake stage of machine data processing platform
    Patent number: 9596254
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Grant
    Filed: October 30, 2015
    Date of Patent: March 14, 2017
    Assignee: Splunk Inc.
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • Dual-path distributed architecture for network security analysis
    Patent number: 9591010
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Grant
    Filed: October 30, 2015
    Date of Patent: March 7, 2017
    Assignee: Splunk Inc.
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • EVENT VIEWS IN DATA INTAKE STAGE OF MACHINE DATA PROCESSING PLATFORM
    Publication number: 20170063903
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: October 30, 2015
    Publication date: March 2, 2017
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • IDENTITY RESOLUTION IN DATA INTAKE STAGE OF MACHINE DATA PROCESSING PLATFORM
    Publication number: 20170063904
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: October 30, 2015
    Publication date: March 2, 2017
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • ENTERPRISE SECURITY GRAPH
    Publication number: 20170063910
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: October 30, 2015
    Publication date: March 2, 2017
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu, Marios Iliofotou
  • Network Security System
    Publication number: 20170063896
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: August 31, 2015
    Publication date: March 2, 2017
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • Dual-Path Distributed Architecture for Network Security Analysis
    Publication number: 20170063891
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: October 30, 2015
    Publication date: March 2, 2017
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • EVENT MINI-GRAPHS IN DATA INTAKE STAGE OF MACHINE DATA PROCESSING PLATFORM
    Publication number: 20170063912
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: October 30, 2015
    Publication date: March 2, 2017
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu
  • Sharing Model State Between Real-Time and Batch Paths in Network Security Anomaly Detection
    Publication number: 20170063908
    Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
    Type: Application
    Filed: October 30, 2015
    Publication date: March 2, 2017
    Inventors: Sudhakar Muddu, Christos Tryfonas, Ravi Prasad Bulusu