Identity Infrastructure Traffic Interception for Legacy Authentication Migration
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Solution Overview
Problem
Legacy web applications with outdated identity and access management systems are difficult to migrate to modern authentication and authorization protocols, requiring labor-intensive manual processes and lacking efficient tools for analyzing authentication and authorization requirements.
Innovation Solution
A system that intercepts and analyzes application traffic to discover and modify HTTP request and response elements, such as custom headers and cookies, to facilitate the integration of modern authentication and authorization practices without requiring a complete application rewrite, while validating compliance with security standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual migration processes are used for legacy IAM systems, then migration can be performed with existing tools, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The system automatically discovers authentication and authorization requirements by analyzing application traffic patterns, eliminating the need for manual configuration. The IAM system self-configures by observing HTTP requests and responses, automatically mapping modern protocols to legacy application expectations without human intervention in the migration process.
Solution Approach 2:
The patent replaces manual mechanical migration processes with automated software-based analysis. By using traffic capture and pattern recognition algorithms, the system substitutes human analysts with automated tools that can process complex authentication flows, reducing both labor requirements and migration time.
2Reliability
If modern authentication protocols are implemented in legacy applications, then security is enhanced, but application complexity increases
Solution Approach 1:
The system introduces an intermediary layer between the legacy application and modern authentication protocols. This intermediary handles the complexity of protocol translation and adaptation, allowing modern security practices to be layered onto legacy applications without modifying the applications themselves, thus maintaining simplicity while enhancing security.
Solution Approach 2:
The authentication and authorization functionality is segmented into separate, modular components. The discovery module analyzes traffic independently, the mapping module creates protocol translations separately, and the execution module implements modern protocols without touching the legacy application code, allowing each component to be optimized and maintained independently.
3Adaptability or versatility
If complete application rewrite is performed to support modern IAM systems, then compatibility with modern protocols is achieved, but development resources and time are consumed
Solution Approach 1:
Instead of performing a complete application rewrite, the system applies partial changes only where necessary by injecting modern authentication protocols at the infrastructure level. This partial action approach achieves protocol compatibility without the extensive development work required for complete rewrites, as the legacy application code remains untouched.
Solution Approach 2:
Modern authentication protocols are nested within the existing application infrastructure rather than replacing it. The system embeds new security layers inside the existing application flow, allowing modern protocols to coexist with legacy systems. This nesting enables protocol compatibility while avoiding the disruption and time consumption of complete rewrites.
4Measurement precision
If authentication requirements are manually analyzed, then accuracy can be controlled, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system continuously monitors and analyzes application traffic, using feedback loops to automatically adjust and refine its understanding of authentication requirements. By observing actual HTTP requests and responses in real-time, the system achieves high accuracy through empirical data collection, eliminating manual analysis time while maintaining precision through automated pattern recognition.
Data Source
AI summary
Systems, methods, and storage media for analyzing authentication and authorization requirements in an identity infrastructure are disclosed. Exemplary implementations may: intercept, at a server, a first request to access an application in the identity infrastructure; transmit, from the server, one or more of the first request and a modified version of the first request to the application; intercept, at the server, a response from the application, based at least in part on the transmission; and display, via at least one interface, an analysis of one or more of the first request, the modified version of the first request, and the response, wherein the analysis comprising determining requirements for application authentication and authorization requirements, identity protocol(s) and/or techniques utilized by the application, whether user-defined security requirements have been implemented, and/or whether application meets predetermined compliance standards.