AI Browser Agent for Identity Discovery in Non-API Web Services

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Modern enterprise systems often lack accessible APIs for data integration, leading to inefficient and error-prone manual processes, and existing data ingestion mechanisms lack sophistication in handling authentication, dynamic content, or UI complexity, and do not support enterprise-grade security or integration patterns.

Innovation Solution

An AI-driven browser agent autonomously navigates authenticated web interfaces to extract structured data from platforms lacking APIs, interpreting web page structures, handling dynamic content, and applying controls to initiate actions based on detected identities and permissions, with continuous data updates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual processes are used to extract and integrate data from web applications lacking APIs, then data integration can be achieved, but the process becomes error-prone, inefficient, and not scalable

Engineering Contradiction:

Improvedata integration efficiencyVSAvoiddata extraction accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system enables self-service data extraction by allowing the web application to authenticate itself and provide data through automated browser agents, eliminating manual intervention while maintaining high accuracy through programmatic control

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual mechanical processes (copying, reformatting, uploading) are replaced with an automated digital system using browser agents that can navigate, authenticate, and extract data programmatically, improving both efficiency and reliability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If alternative data ingestion mechanisms are created for non-API environments, then data extraction capability is improved, but authentication handling, dynamic content processing, and security support remain insufficient

Engineering Contradiction:

Improvedata extraction capabilityVSAvoidauthentication and security handling

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

A browser agent acts as an intermediary between the automated system and the web application, handling complex authentication flows, dynamic content rendering, and security protocols that simple scraping mechanisms cannot manage

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The browser agent provides universal functionality by combining web navigation, authentication, dynamic content handling, and data extraction in a single system that can adapt to various web application types and security requirements

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If API-based integration is used, then data integration is efficient and scalable, but it requires accessible APIs which many enterprise platforms lack

Engineering Contradiction:

Improvedata integration efficiencyVSAvoidplatform compatibility

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

Instead of requiring the target system to provide an API (traditional approach), the system inverts the approach by using a browser agent to navigate and extract data directly from the web interface, making it adaptable to systems without APIs while maintaining integration efficiency

Inventive Principle:

Principle #13The other way round (Inversion)

Data Source

PatentUS12579288B1System and method for utilizing an AI browser agent in identity discovery and management

Publication Date: 2026.03.17 LINX LTD

AI summary

A system and method for utilizing an artificial intelligence (AI) browser agent to extract identity information for applying a cybersecurity control is presented. The method includes receiving access credentials to a software service, the software service including a plurality of associated identities; detecting in the software service each identity of the plurality of identities, and at least a metadata associated with each identity; generating for each detected identity a representation, the representation generated based on the associated at least a metadata; applying a control on the representation; and initiating an action in the software service, based on a result of applying the control on the representation.