Dynamic Remote Browser Isolation for Application-Specific Threats
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Solution Overview
Problem
Web-based environments face challenges in securing data from various cyber threats and cyberattacks, with existing systems failing to adapt dynamically to real-time or near real-time threat intelligence specific to individual software applications.
Innovation Solution
A system and method for generating dynamic remote based isolation (RBI) configurations using a dynamic RBI configuration engine that adapts software application and system components based on application-specific cyber threat intelligence, incorporating generative machine-learning models to predict and respond to potential threats, and dynamically reconfigure resources, traffic, and security features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static security configurations are used, then system simplicity is maintained, but the system cannot adapt to real-time cyber threats
Solution Approach 1:
The patent implements dynamic security configurations that automatically adjust based on real-time threat intelligence. The system transitions from static to dynamic configurations by monitoring cyber threats and reconfiguring security parameters (such as isolation levels, firewall rules, and access controls) in response to detected threats, enabling the system to adapt its security posture dynamically without manual intervention.
Solution Approach 2:
The system employs automated threat response mechanisms where the security configuration engine autonomously analyzes threat intelligence and applies appropriate security measures without human intervention. The system self-manages the entire process from threat detection to configuration adjustment, reducing the need for manual security management while maintaining high adaptability.
2Reliability
If dynamic reconfiguration is implemented, then real-time threat response is achieved, but processing time and computational resources increase
Solution Approach 1:
The system pre-loads and caches security configuration templates and threat intelligence data before threats are detected. By preparing security configurations in advance and maintaining ready-to-apply security policies, the system can rapidly respond to threats without significant processing delays when reconfiguration is actually needed.
Solution Approach 2:
The patent replaces manual security configuration processes with automated machine-learning-based systems that can analyze threats and generate configurations at machine speed. This substitution of automated intelligent systems for manual or traditional mechanical configuration processes dramatically reduces the time required for security reconfiguration while maintaining high reliability.
3Measurement precision
If comprehensive threat monitoring is performed, then threat detection accuracy improves, but system performance overhead increases
Solution Approach 1:
The system applies different levels of monitoring intensity to different system components and data flows based on their sensitivity and threat exposure. Critical assets receive enhanced monitoring with higher detection accuracy, while less critical components use lighter monitoring approaches, optimizing the balance between detection precision and performance overhead across the entire system.
Solution Approach 2:
The patent implements a unified security monitoring framework that serves multiple functions simultaneously: threat detection, anomaly analysis, configuration validation, and incident response coordination. By consolidating these functions into a single multi-functional system rather than separate specialized systems, the overall performance overhead is reduced while maintaining comprehensive threat detection capabilities.
Data Source
AI summary
A system includes a memory configured to store one or more cyber threat scenarios associated with a software application of a plurality of software applications. The system further includes processors for accessing the one or more cyber threat scenarios, identifying, based on the one or more cyber threat scenarios, an actual cyber threat associated with an execution of the software application in accordance with the current configuration, and, in response, executing a dynamic remote based isolation (RBI) engine configured to perform a dynamic reconfiguration of the software application and the system components in response to the identified actual cyber threat. The dynamic reconfiguration is different from the current configuration of the software application and the system components. The processors further cause the software application to be executed in accordance with the dynamic reconfiguration of the software application and the system components.