Application Breach Simulation for Automated Security Testing
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Solution Overview
Problem
Existing manual application testing methods are time-intensive, prone to human error, and fail to accurately simulate real-world scenarios, leading to missed security vulnerabilities, performance bottlenecks, and compatibility issues.
Innovation Solution
A dynamic application testing system that simulates real-world conditions to model application errors, provides notifications, and generates alerts based on testing outputs, enhancing compliance assessments and computational efficiency by identifying previously unrecognized issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual application testing is used, then testers can identify security vulnerabilities and compliance issues, but the testing process becomes time-intensive and prone to human error
Solution Approach 1:
The system enables automated self-testing of applications by injecting breach data and automatically analyzing testing outputs to generate indications of security vulnerabilities and compliance issues, eliminating the need for continuous manual intervention while maintaining high detection accuracy
Solution Approach 2:
The patent replaces manual mechanical testing processes with an automated computational system that uses processing circuits to execute testing algorithms, inject breach data, and analyze results, thereby eliminating human error and significantly reducing testing time
2Measurement precision
If manual testing methods are used, then testers can assess application compliance, but the methods fail to accurately simulate real-world scenarios and miss rare security vulnerabilities
Solution Approach 1:
The system pre-generates comprehensive breach data representing various real-world attack scenarios and compliance violations before execution, ensuring that rare and complex security vulnerabilities are adequately represented in the testing process
Solution Approach 2:
The system dynamically adjusts testing parameters by injecting different types of breach data with varying characteristics (e.g., different attack vectors, data formats, and breach scenarios) to accurately simulate diverse real-world conditions and improve detection of rare vulnerabilities
3Productivity
If automated testing systems are implemented, then computational efficiency is improved, but the system complexity increases
Solution Approach 1:
The automated testing system is divided into distinct functional modules: a breach data injection module that prepares and injects test data, a processing circuit module that executes testing algorithms, and a result analysis module that generates indications, making the complex system manageable and maintainable
Data Source
AI summary
Disclosed are systems and methods for dynamic application testing. One or more processing circuits receive an application package with an application and authentication information corresponding with group permission states. The one or more processing circuits authenticate access based on the authentication information and group permission states, model testing parameters, and generate indications, with at least one indication corresponding to a simulated breach. The one or more processing circuits retrieve testing parameters via an API, simulate the breach by providing breach data to update a testing parameters state from a first to a second state, and generate an indication for the update. The one or more processing circuits generate and provide a token with authentication information and the indication to a monitoring system, receive an alert identifier from the monitoring system, and generate a data package including the testing parameter, alert identifier, and indication.