GOOGLE LLC (20240250965). Method and System for Efficient Cybersecurity Analysis of Endpoint Events simplified abstract
Contents
Method and System for Efficient Cybersecurity Analysis of Endpoint Events
Organization Name
Inventor(s)
Christopher Glyer of Arlington VA (US)
Seth Jesse Summersett of Hathway Pines CA (US)
Method and System for Efficient Cybersecurity Analysis of Endpoint Events - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240250965 titled 'Method and System for Efficient Cybersecurity Analysis of Endpoint Events
The patent application describes a comprehensive cybersecurity platform that includes a cybersecurity intelligence hub, a cybersecurity sensor, and one or more endpoints communicatively coupled to the cybersecurity sensor. This platform allows for efficient scaling, analysis, and detection of malware and/or malicious activity.
- An endpoint consists of a local data store and an agent that monitors for various types of events on the endpoint, performing deduplication within the local data store to identify unique events.
- The agent collects metadata of distinct events and sends it to the cybersecurity sensor, which also performs deduplication within its local data store.
- The cybersecurity sensor then sends all distinct events and/or file objects to a cybersecurity intelligence hub for analysis.
- The cybersecurity intelligence hub is connected to a Data Management and Analytics Engine (DMAE) that analyzes the events and/or objects using multiple services to determine if they are benign or malicious, issuing alerts accordingly.
Potential Applications: - Cybersecurity threat detection and prevention in various industries such as finance, healthcare, and government. - Network security monitoring and incident response for organizations of all sizes.
Problems Solved: - Efficient scaling and analysis of cybersecurity threats. - Detection of malware and malicious activity in real-time. - Streamlining cybersecurity processes for better threat management.
Benefits: - Enhanced cybersecurity posture. - Improved incident response capabilities. - Cost-effective and scalable cybersecurity solution.
Commercial Applications: - Cybersecurity software companies can integrate this platform into their products. - Managed security service providers can offer enhanced cybersecurity services to their clients.
Prior Art: Prior art related to this technology may include existing cybersecurity platforms and threat detection systems that utilize similar methodologies for analyzing and detecting malicious activity.
Frequently Updated Research: Stay updated on the latest cybersecurity threats and trends to ensure the platform remains effective in detecting and preventing new forms of malware and malicious activity.
Questions about the technology: 1. How does the platform handle false positives in threat detection? 2. What measures are in place to ensure the privacy and security of the data collected and analyzed by the platform?
Original Abstract Submitted
a comprehensive cybersecurity platform includes a cybersecurity intelligence hub, a cybersecurity sensor and one or more endpoints communicatively coupled to the cybersecurity sensor, where the platform allows for efficient scaling, analysis, and detection of malware and/or malicious activity. an endpoint includes a local data store and an agent that monitors for one or more types of events being performed on the endpoint, and performs deduplication within the local data store to identify “distinct” events. the agent provides the collected metadata of distinct events to the cybersecurity sensor which also performs deduplication within a local data store. the cybersecurity sensor sends all distinct events and/or file objects to a cybersecurity intelligence hub for analysis. the cybersecurity intelligence hub is coupled to a data management and analytics engine (dmae) that analyzes the event and/or object using multiple services to render a verdict (e.g., benign or malicious) and issues an alert.
