Automated Firewall Rule Analysis and Recommendation System
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Solution Overview
Problem
Analyzing network traffic flows on firewalls is complex and time-consuming, especially for less technically savvy users, leading to less secure firewalls and hindered ability to improve security and performance due to the complexity of processing large volumes of TCP log data.
Innovation Solution
The solution involves retrieving and processing firewall flow log data to identify unique flows and count allowed or denied flows by each rule, generating recommendations to limit, delete, or modify rule application precedence, and presenting these recommendations in a user-friendly interface for easy implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If firewall flow log data is manually analyzed to identify traffic patterns and improve security rules, then security configuration quality can be improved, but the process becomes extremely complex and time-consuming for users
Solution Approach 1:
The patent introduces an intermediary system that automatically analyzes firewall flow log data and generates rule recommendations. This intermediary processing layer between the raw log data and the user eliminates the need for users to directly perform complex manual analysis, thereby maintaining security improvement while reducing analysis complexity
Solution Approach 2:
The system enables self-service by automatically processing firewall log data and generating actionable recommendations without requiring user expertise in traffic pattern analysis. The automated analysis engine performs the complex work independently, allowing users to simply review and implement recommendations
2Loss of information
If detailed analysis of hundreds of thousands of TCP log flows is performed to identify patterns, then more informed security decisions can be made, but the time required for analysis increases significantly
Solution Approach 1:
The system performs preliminary automated analysis of all flow log data before presenting results to users. By pre-processing the entire dataset, identifying patterns, and generating recommendations in advance, the system eliminates the need for users to spend time on manual analysis while ensuring comprehensive information is available for decision-making
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational analysis. The system uses algorithms to automatically process and analyze hundreds of thousands of log flows, substituting human manual review with automated processing that is both faster and more consistent
3Reliability
If firewall rules are manually configured and analyzed by technically savvy personnel, then security can be maintained, but less technically savvy customers cannot effectively improve their firewall security
Solution Approach 1:
The patent introduces an intermediary recommendation system that translates complex flow log analysis into simple, actionable recommendations. This intermediary layer handles the technical complexity internally and presents simplified options to users, enabling less technically savvy customers to improve security without needing deep expertise
Solution Approach 2:
The system enables self-service security improvement by automatically analyzing logs and generating recommendations that any user can implement. Users don't need technical expertise to benefit from the automated analysis, as the system performs the complex work and presents easy-to-follow recommendations
Data Source
AI summary
One embodiment includes retrieving firewall flow log data that indicates whether a flow was allowed or denied, an identifier of a rule that allowed or denied the flow, a source port, a protocol, a destination port, a source IP or FQDN, and a destination IP or FQDN. The method continues with processing the firewall flow log data, such as by identifying and counting occurrences of unique flows and counting flows allowed or denied by each rule. The method further includes generating a recommendation of at least one of limiting an existing rule, deleting an existing rule, and modifying rule application precedence. The recommendation may be generated based on at least one of the occurrences of unique flows and counted flows allowed or denied by each rule of a rule base. This method also includes providing the recommendation within a user interface as a selectable option for implementation.