Web Application Security Posture Detection with Vision-Guided Browsing
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Solution Overview
Problem
The dynamic nature of web-based applications and the lack of standardized APIs for administrative tasks complicate security posture assessment, leading to inefficiencies and potential security breaches due to manual inspection and ad-hoc solutions.
Innovation Solution
A method using a headless browser and a large vision model to automate the navigation and analysis of web application interfaces, enabling automated detection and remediation of security posture by extracting security attributes and initiating corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection by IT administrators is used to assess security posture, then human judgment and flexibility are maintained, but time consumption increases and human error occurs
Solution Approach 1:
The system enables automated self-assessment of security posture by having the application navigate its own administrative interfaces using a headless browser, eliminating the need for manual administrator intervention while maintaining comprehensive security evaluation
Solution Approach 2:
The patent replaces the mechanical manual inspection process with an automated AI-driven system that uses computer vision to interpret UI screenshots and navigate application interfaces, substituting human administrators with an autonomous digital agent
2Extent of automation
If standardized APIs for administrative tasks are implemented, then automation of security monitoring is enabled, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent introduces a headless browser as an intermediary that bridges the gap between AI agents and web application administrative interfaces, enabling automation without requiring standardized APIs by directly interacting with the visual UI layer
Solution Approach 2:
Instead of automating through the traditional API dimension, the system transitions to a visual dimension by capturing and analyzing UI screenshots, navigating through the graphical interface layer to achieve automation where API-based approaches fail
3Ease of manufacture
If ad-hoc solutions are used for security monitoring without standardized APIs, then immediate implementation is possible, but inefficiency and limitations increase
Solution Approach 1:
The patent creates a universal automated security assessment system that can work across different web applications without requiring application-specific customizations or standardized APIs, achieving both ease of deployment and high productivity through multi-functional AI-driven navigation and analysis
Data Source
AI summary
A method for automatic detection and remediation of security posture in web-applications using large vision models is fulfilled in the ongoing description by (a) initiating a headless browser as an agent to access an administrative section of a web-application, (b) enabling a pre-trained large vision model to navigate through a web user-interface of the web-application using a state transition graph, (c) determining subsequent navigation actions of the navigated web-user interface using screenshots of the navigated web-user interface with the large vision model, (d) detecting and analyzing a final state of navigation sequence of the administrative section to extract security attributes, (e) monitoring and collecting data associated with security posture of the web-application based on the security attributes, and (f) initiating automated corrective actions through a security posture remediation module upon identifying a security issue in the web-application.