IronNet Cybersecurity, Inc. (20240291843). SYSTEMS AND METHODS FOR ANALYZING CYBERSECURITY EVENTS simplified abstract
SYSTEMS AND METHODS FOR ANALYZING CYBERSECURITY EVENTS
Organization Name
Inventor(s)
Michael Lowney of Arlington VA (US)
Phillip Baker Schafer of Columbia MD (US)
Alexander Michael Conn of Arlington VA (US)
Patrick Collard of Arlington VA (US)
Stephen Kinser of Arlington VA (US)
SYSTEMS AND METHODS FOR ANALYZING CYBERSECURITY EVENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240291843 titled 'SYSTEMS AND METHODS FOR ANALYZING CYBERSECURITY EVENTS
- Simplified Explanation:**
This patent application describes methods and systems for detecting, identifying, and analyzing cybersecurity events to prevent threats like malware. The technology can find anomalous network traffic and correlate activity to analyze potential threats within a network.
- Key Features and Innovation:**
- Detection, identification, and analysis of cybersecurity events
- Ability to find similar anomalous network traffic within a single network or across multiple networks
- Correlating activity to analyze potential threats within a network
- Providing broader contextual information about threats and their relation to other network activity
- Potential Applications:**
The technology can be used in various industries such as cybersecurity, network security, threat detection, and malware prevention.
- Problems Solved:**
This technology addresses the need for efficient detection and prevention of cybersecurity threats like malware and harmful events.
- Benefits:**
- Enhanced cybersecurity measures
- Improved threat detection and prevention
- Better analysis of network activity
- Broader contextual information for understanding threats
- Commercial Applications:**
Potential commercial applications include cybersecurity software development, network security services, threat intelligence platforms, and malware detection tools.
- Prior Art:**
Readers can explore prior art related to cybersecurity event detection, threat analysis, and malware prevention in academic research papers, industry publications, and patent databases.
- Frequently Updated Research:**
Stay updated on the latest advancements in cybersecurity event detection, threat analysis, and malware prevention through industry conferences, research journals, and cybersecurity forums.
- Questions about Cybersecurity Event Detection:**
1. How does this technology improve upon existing cybersecurity event detection methods? 2. What are the key advantages of using this system for threat analysis and malware prevention?
Original Abstract Submitted
methods and systems for the detection, identification, analysis of cybersecurity events in order to support prevention of the persistence of threats, malware or other harmful events are provided. the methods and systems of the present invention enable a user to find similar anomalous network traffic within a single network or across multiple networks. the methods and systems identify and correlate activity in order to analyze potential threats within a network by providing broader contextual information about how those threats relate to other activity within the network or across a sector or country.
