Secure Network Traffic Analysis Module for Access Verification
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Solution Overview
Problem
In large enterprise environments, it is difficult to accurately determine which entities, devices, and applications access secure information, especially during authorized access by third-party vendors or in cases of unauthorized attacks, due to the inefficiency and inaccuracy of manual methods, which are also unable to provide real-time monitoring of ongoing threats.
Innovation Solution
A system and method for analyzing secure network traffic using a computing platform with a secure network communication analysis module that receives IP addresses from routers and firewalls, determines associated entities, devices, and applications, and correlates this information to provide automated verification, validation, and real-time monitoring of accesses, including historical and ongoing activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to catalog access information, then implementation is simple, but accuracy and efficiency are poor
Solution Approach 1:
The patent introduces an automated analysis system that acts as an intermediary between network traffic and access information cataloging. This system receives network traffic data, automatically analyzes it to extract access information, and produces accurate catalogs without requiring manual processing. The intermediary system resolves the contradiction by providing high accuracy through automated analysis while maintaining reasonable complexity through modular architecture.
Solution Approach 2:
The patent replaces manual mechanical cataloging processes with automated electronic analysis systems. Instead of manually examining and recording access information, the system uses automated tools to parse network traffic, extract relevant data, and generate access catalogs. This substitution dramatically improves accuracy and efficiency while the complexity is managed through standardized automated processes.
2Productivity
If manual investigations are conducted for security audits, then resource requirements are low, but time consumption is excessive and results are suspect
Solution Approach 1:
The patent implements a self-service automated analysis system that independently performs security audits without requiring extensive manual intervention. The system automatically collects network traffic data, analyzes it for security violations, generates audit reports, and can even trigger responses to detected threats. This self-service capability dramatically increases productivity while the complexity is contained within the automated system rather than requiring complex human coordination.
Solution Approach 2:
The patent enables continuous automated analysis of network traffic for security auditing purposes. Instead of periodic manual audits, the system continuously monitors network traffic, constantly analyzing data streams for security violations. This continuous operation dramatically improves audit productivity and timeliness while the automated nature manages complexity through consistent processing routines.
3Speed
If manual methods are used to track ongoing attacks, then system requirements are minimal, but real-time monitoring capability is lost
Solution Approach 1:
The patent implements preliminary action by continuously analyzing network traffic in real-time to detect ongoing attacks before they can cause significant damage. The system is proactively monitoring network traffic streams, automatically identifying suspicious patterns, and can trigger response actions immediately upon detection. This preliminary detection capability provides real-time threat response while the automated analysis manages complexity through standardized detection routines.
Solution Approach 2:
The patent replaces manual threat investigation methods with automated electronic analysis systems capable of real-time monitoring. Instead of manually examining security logs after incidents occur, the system continuously analyzes network traffic streams, automatically detects attack patterns, and provides real-time alerts. This substitution enables real-time monitoring speed while the complexity is managed through automated processing and standardized analysis procedures.
Data Source
AI summary
The present invention provides for analyzing secured network traffic to determine which devices and/or applications are accessed by authorized, and in some instances, unauthorized third-party entities. A fully automated methodology is disclosed for verification and validation of secured network accesses performed by an authorized third-party entity and the monitoring and investigation of unauthorized third-party threats/attacks on the secured network.


