AI Firewall Engine Dynamic Port Management

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Manual management of firewall ports in enterprise networks often results in security breaches due to ports being left open after applications are decommissioned or not being properly configured across multiple firewalls, leading to potential security vulnerabilities.

Innovation Solution

An AI firewall engine that uses natural language processing and machine learning to dynamically manage firewall ports by building a dynamic port profile based on vendor recommendations and system changes, continuously monitoring and updating configurations to enhance security.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual management of firewall ports is used, then administrators can control port configurations, but ports may be left open after application decommissioning or not properly configured across multiple firewalls

Engineering Contradiction:

Improvefirewall port configuration accuracyVSAvoidmanual port management effort

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system enables automated self-service management of firewall ports by monitoring application states and automatically updating port configurations across multiple firewalls, eliminating the need for manual administrator intervention while ensuring accurate and consistent port management

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements continuous feedback loops by monitoring application deployment states, port usage, and firewall configurations, then automatically adjusting port profiles based on real-time system state changes to maintain security while ensuring proper configuration

Inventive Principle:

Principle #23Feedback

2Reliability

If automated AI management of firewall ports is implemented, then security risks are reduced and port configurations are maintained accurately, but system complexity increases

Engineering Contradiction:

Improvefirewall security postureVSAvoidautomated management system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The AI-powered automated management system performs multiple functions including application state monitoring, port profile generation, configuration deployment across multiple firewalls, and continuous compliance verification, consolidating these capabilities into a single multi-functional platform that reduces overall system complexity despite the advanced automation involved

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11831606B2Dynamically managing firewall ports of an enterprise network

Publication Date: 2023.11.28 KYNDRYL INC

AI summary

An AI firewall engine dynamically manages firewall ports of an enterprise network to increase security. The AI firewall engine may begin with a baseline port profile configuration and then add firewall rules derived from natural language processing and machine learning from vendor recommended port requirements for an application. The AI firewall engine builds a dynamic port profile with rules that are applied to the firewalls. The AI firewall engine may then monitor system changes and dynamically updates the port profile and configurations on the firewalls.