QOMPLX LLC (20240250995). CYBERSECURITY RECONNAISSANCE, ANALYSIS, AND SCORING USING DISTRIBUTED SYSTEMS simplified abstract
Contents
CYBERSECURITY RECONNAISSANCE, ANALYSIS, AND SCORING USING DISTRIBUTED SYSTEMS
Organization Name
Inventor(s)
Jason Crabtree of Vienna VA (US)
Joe Gray of Lenoir City TN (US)
Michael James of Independence MO (US)
Richard Kelley of Woodbridge VA (US)
Andrew Sellers of Monument CO (US)
Farooq Shaikh of Reston VA (US)
CYBERSECURITY RECONNAISSANCE, ANALYSIS, AND SCORING USING DISTRIBUTED SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240250995 titled 'CYBERSECURITY RECONNAISSANCE, ANALYSIS, AND SCORING USING DISTRIBUTED SYSTEMS
The patent application describes a system and method for cybersecurity reconnaissance, analysis, and scoring using distributed, cloud-based computing services to analyze enterprise IT networks with publicly available characterizations.
- In-memory associative array manages vulnerability search tasks through a public-facing proxy network.
- Public-facing proxy network configures search nodes to control search aspects for desired results.
- Distributed data processing engine and cloud-based storage provide scalable computing power and storage.
- Cloud-based computing services are containerized and orchestrated for efficient management and scaling purposes.
Potential Applications: - Cybersecurity threat analysis - Vulnerability assessment for IT networks - Network security monitoring
Problems Solved: - Scalability issues in analyzing large enterprise IT networks - Efficient management of vulnerability search tasks - Control over search aspects for desired results
Benefits: - Scalable computing power for analyzing large networks - Efficient management of vulnerability search tasks - Customizable search nodes for tailored results
Commercial Applications: Title: Scalable Cybersecurity Analysis System for Enterprise Networks This technology can be used by cybersecurity firms to offer comprehensive network security assessments to large enterprises, government agencies, and other organizations with complex IT infrastructures.
Questions about the technology: 1. How does the system ensure efficient scalability for analyzing enterprise IT networks? 2. What are the key benefits of using a public-facing proxy network for vulnerability search tasks?
Original Abstract Submitted
a system and method for cybersecurity reconnaissance, analysis, and scoring that uses distributed, cloud-based computing services to provide sufficient scalability for analysis of enterprise it networks using only publicly available characterizations. the system and method comprise an in-memory associative array which manages a queue of vulnerability search tasks through a public-facing proxy network. the public-facing proxy network has search nodes configurable to present the network to search tools in a desired manner to control certain aspects of the search to obtain the desired results. a distributed data processing engine and cloud-based storage are used to provide scalable computing power and storage. each of the cloud-based computing services is containerized and orchestrated for management and efficient scaling purposes.
