Salesforce, inc. (20240314175). SELF HEALING NETWORK SECURITY POLICY MANAGEMENT simplified abstract
Contents
- 1 SELF HEALING NETWORK SECURITY POLICY MANAGEMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SELF HEALING NETWORK SECURITY POLICY MANAGEMENT - 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 Network Security Policy Optimization Tool
- 1.13 Original Abstract Submitted
SELF HEALING NETWORK SECURITY POLICY MANAGEMENT
Organization Name
Inventor(s)
Kaushal Bansal of Pleasanton CA (US)
Prabhat Singh of San Jose CA (US)
Amit Chakrabarty of Fremont CA (US)
SELF HEALING NETWORK SECURITY POLICY MANAGEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240314175 titled 'SELF HEALING NETWORK SECURITY POLICY MANAGEMENT
Simplified Explanation
The method described in the patent application involves analyzing network flow data to evaluate the effectiveness of security policies in a functional domain and generating recommendations for policy changes based on the analysis.
- The method determines a group of security policies copied from another functional domain.
- It queries network flow data to identify network traffic associated with these security policies.
- It analyzes the utilization of the security policies based on the network traffic.
- Recommendations are then generated for changing the security policies in the first functional domain.
Key Features and Innovation
- Analysis of network flow data to evaluate security policy effectiveness.
- Generation of recommendations for policy changes based on network traffic analysis.
Potential Applications
This technology can be applied in various industries where network security is crucial, such as finance, healthcare, and government sectors.
Problems Solved
The technology addresses the challenge of effectively managing and optimizing security policies within a network infrastructure.
Benefits
- Improved security policy management.
- Enhanced network security.
- Efficient utilization of security resources.
Commercial Applications
Title: Network Security Policy Optimization Tool This technology can be commercialized as a software tool for network security professionals to optimize and enhance security policies within their organizations. It has implications for improving overall network security posture and compliance with industry regulations.
Prior Art
Readers interested in prior art related to this technology can explore research papers, patents, and industry publications on network security policy management and optimization.
Frequently Updated Research
Stay updated on the latest research in network security policy management and optimization to leverage cutting-edge techniques and technologies for enhancing network security.
Questions about Network Security Policy Optimization Tool
How does this technology improve network security?
This technology enhances network security by analyzing network flow data to evaluate the effectiveness of security policies and generating recommendations for policy changes based on the analysis.
What are the potential applications of this technology beyond network security?
This technology can also be applied in industries such as finance, healthcare, and government sectors where data security and compliance are critical.
Original Abstract Submitted
in some embodiments, a method determines a first functional domain that includes a group of security policies that have been copied from a second functional domain. network flow data is queried to determine network traffic that is associated with a security policy in the group of security policies in the first functional domain. the method analyzes utilization of the security policy based on the network traffic. based on the analyzing, a recommendation is generated to change the security policy in the first functional domain.