Guidewire Software, Inc. (20240244084). INFERENTIAL ANALYSIS USING FEEDBACK FOR EXTRACTING AND COMBINING CYBER RISK INFORMATION simplified abstract
Contents
INFERENTIAL ANALYSIS USING FEEDBACK FOR EXTRACTING AND COMBINING CYBER RISK INFORMATION
Organization Name
Inventor(s)
George Y. Ng of San Mateo CA (US)
Brian Wu of San Francisco CA (US)
Ming Yang of San Mateo CA (US)
Paul Yang of San Mateo CA (US)
Fernando Tancioco, Jr. of San Ramon CA (US)
INFERENTIAL ANALYSIS USING FEEDBACK FOR EXTRACTING AND COMBINING CYBER RISK INFORMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240244084 titled 'INFERENTIAL ANALYSIS USING FEEDBACK FOR EXTRACTING AND COMBINING CYBER RISK INFORMATION
Abstract: The patent application involves inferential analysis to assess the risk of a cyber security failure in a computer network and recommend changes to reduce the risk.
- Simplified Explanation:
The patent application describes a system that uses a computer agent to collect information from internet elements, assesses the risk of a cyber security failure, and recommends changes to the network to mitigate the risk.
- Key Features and Innovation:
- Utilizes a computer agent to collect information from internet elements - Automatically determines changes to cyber security policy criteria based on assessed risk - Recommends network changes to reduce the risk of cyber security failure
- Potential Applications:
- Cyber security management in organizations - Network security monitoring and optimization - Risk assessment and mitigation in computer networks
- Problems Solved:
- Identifying and assessing the risk of cyber security failures - Automating the process of recommending network changes to reduce risk - Enhancing overall cyber security posture of an entity
- Benefits:
- Improved cyber security risk management - Proactive approach to network security - Efficient utilization of resources for cyber security measures
- Commercial Applications:
Title: "Automated Cyber Security Risk Assessment and Mitigation System" This technology can be used by cybersecurity firms, IT departments of organizations, and network security providers to enhance the security of computer networks and prevent cyber attacks. It can also be integrated into existing security systems to automate risk assessment and mitigation processes.
- Prior Art:
Readers can explore prior art related to inferential analysis, cyber security risk assessment, and automated network security systems to gain a deeper understanding of the technological advancements in this field.
- Frequently Updated Research:
Researchers in the field of cyber security and network management are constantly developing new methods and technologies to improve the detection and mitigation of cyber threats. Stay updated on the latest research to enhance the effectiveness of cyber security measures.
Questions about Automated Cyber Security Risk Assessment and Mitigation System:
1. How does the system assess the risk of a cyber security failure in a computer network? The system assesses the risk by collecting information from internet elements and analyzing it to identify potential vulnerabilities and threats.
2. What are the key benefits of using an automated system for cyber security risk assessment? The key benefits include improved efficiency, proactive risk management, and enhanced overall security posture of the network.
Original Abstract Submitted
inferential analysis includes: assessing risk of a cyber security failure in a computer network of an entity, using a computer agent configured to collect information from at least one accessible internet elements, automatically determining, based on the assessed risk, a change or a setting to at least one element of policy criteria of a cyber security policy; and automatically recommending, based on the assessed risk, a computer network change to reduce the assessed risk.
