QOMPLX LLC (20240291869). SELF-ADJUSTING CYBERSECURITY ANALYSIS WITH NETWORK MAPPING simplified abstract
Contents
- 1 SELF-ADJUSTING CYBERSECURITY ANALYSIS WITH NETWORK MAPPING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SELF-ADJUSTING CYBERSECURITY ANALYSIS WITH NETWORK MAPPING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Self-Adjusting Cybersecurity Analysis System
- 1.13 Original Abstract Submitted
SELF-ADJUSTING CYBERSECURITY ANALYSIS WITH NETWORK MAPPING
Organization Name
Inventor(s)
Jason Crabtree of Vienna VA (US)
Richard Kelley of Woodbridge VA (US)
SELF-ADJUSTING CYBERSECURITY ANALYSIS WITH NETWORK MAPPING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240291869 titled 'SELF-ADJUSTING CYBERSECURITY ANALYSIS WITH NETWORK MAPPING
Simplified Explanation
The patent application describes a system and method for self-adjusting cybersecurity analysis with network mapping. A reconnaissance engine gathers data about a client's computer network from various sources to evaluate different aspects of cybersecurity independently and generate a cybersecurity score.
- The system gathers data about a client's computer network from the client, devices and systems on the network, and the internet.
- Each aspect of cybersecurity is evaluated independently, weighted, and cross-referenced to generate a cybersecurity score.
- The scoring system can be used as a state machine with the cybersecurity score acting as a feedback mechanism.
- Data from clients with more extensive reporting can supplement data for clients with less extensive reporting to enhance cybersecurity analysis and scoring.
Key Features and Innovation
- Reconnaissance engine gathers data about client's computer network from multiple sources.
- Evaluates different aspects of cybersecurity independently and generates a cybersecurity score.
- Scoring system can be used as a state machine with the cybersecurity score as a feedback mechanism.
- Data from clients with more extensive reporting can supplement data for clients with less extensive reporting.
Potential Applications
This technology can be used in various industries such as cybersecurity firms, IT consulting companies, and organizations looking to enhance their cybersecurity measures.
Problems Solved
This technology addresses the need for a comprehensive and transparent method of evaluating cybersecurity risks and vulnerabilities in a client's computer network.
Benefits
- Provides a comprehensive characterization of cybersecurity risk.
- Offers a transparent and traceable methodology for cybersecurity analysis.
- Allows for self-adjusting cybersecurity analysis based on network mapping data.
Commercial Applications
Title: Self-Adjusting Cybersecurity Analysis System This technology can be commercially applied in cybersecurity firms to offer enhanced services to clients, in IT consulting companies to improve cybersecurity measures, and in organizations to strengthen their overall cybersecurity posture.
Prior Art
Readers can start their search for prior art related to this technology by looking into existing patents or publications in the field of cybersecurity analysis and network mapping.
Frequently Updated Research
There may be ongoing research in the field of cybersecurity analysis and network mapping that could further enhance the capabilities of this technology.
Questions about Self-Adjusting Cybersecurity Analysis System
How does the system gather data about a client's computer network?
The system gathers data from the client, devices and systems on the network, and the internet to assess various aspects of cybersecurity.
What is the role of the cybersecurity score in the system?
The cybersecurity score acts as a feedback mechanism in the state machine, allowing for self-adjusting cybersecurity analysis based on the aggregated data.
Original Abstract Submitted
a system and method for self-adjusting cybersecurity analysis with network mapping, wherein a reconnaissance engine gathers data about a client's computer network from the client, from devices and systems on the client's network, and from the internet regarding various aspects of cybersecurity. each of these aspects is evaluated independently, weighted, and cross-referenced to generate a cybersecurity score by aggregating individual vulnerability and risk factors together to provide a comprehensive characterization of cybersecurity risk using a transparent and traceable methodology. the scoring system itself can be used as a state machine with the cybersecurity score acting as a feedback mechanism, in which a cybersecurity score can be set at a level appropriate for a given organization, and data from clients or groups of clients with more extensive reporting can be used to supplement data for clients or groups of clients with less extensive reporting to enhance cybersecurity analysis and scoring.
