Secure Networked System for Real-Time Cybersecurity Protection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing network security systems struggle to effectively protect applications from cybersecurity risks in real-time, often failing to provide a robust and efficient protective layer.
Innovation Solution
An intelligent secure networked system is configured with a HTTPS load balancer, controller/proxy, session database, secrets management server, workflow engine, integration station, and hub server, which work together to form a protective layer by processing risk information in under 20 milliseconds and performing passive traffic monitoring in parallel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a robust protective layer is implemented to protect applications from cybersecurity risks, then security reliability is improved, but system complexity increases
Solution Approach 1:
The security system is divided into distinct functional modules including a load balancer for traffic distribution, a controller/proxy for request management, a workflow engine for security rule execution, an integration station for external system communication, and a secrets management server for secure credential storage. Each component handles specific security tasks independently, making the complex security function manageable and maintainable.
Solution Approach 2:
The controller/proxy acts as an intermediary between incoming traffic and the workflow engine, while the workflow engine serves as an intermediary between security rules and the integration station. These intermediary components facilitate coordinated security operations without requiring direct complex interactions between all system elements, thereby reducing overall system complexity.
2Speed
If real-time risk processing is implemented to provide immediate protection, then response speed is improved, but processing complexity increases
Solution Approach 1:
Security rules and risk assessment logic are pre-configured in the workflow engine before actual security events occur. When traffic needs to be processed, the workflow engine executes pre-defined rules immediately without requiring complex real-time decision-making, enabling fast risk processing while keeping the processing logic simple and manageable.
Solution Approach 2:
The system dynamically loads and unloads security rules from the workflow engine based on current threat landscapes and business requirements. This dynamic rule management allows the system to adapt to changing security needs while maintaining fast processing speeds, as only relevant rules are actively processed at any given time rather than maintaining a static complex rule set.
3Difficulty of detecting and measuring
If passive traffic monitoring is performed in parallel to detect security risks, then detection capability is improved, but resource consumption increases
Solution Approach 1:
The load balancer distributes parallel monitoring tasks across multiple controller/proxy instances, each handling traffic from specific servers or zones. This local quality approach allows traffic detection to be performed in parallel across different segments of the system, improving overall detection capability while distributing computational resource consumption rather than concentrating it at a single point.
Data Source
AI summary
Exemplary embodiments include an intelligent secure networked system configured by at least one processor to execute instructions stored in memory to form a protective layer between an application and a cybersecurity risk, the system including a HTTPS load balancer in communication with a controller/proxy, the controller/proxy in communication with a session database, a secrets management server and a workflow engine, the workflow engine in communication with the session database, the secrets management server and an integration station, and a hub server in communication with the session database, the secrets management server, and a hub client. The HTTPS load balancer may be configured to perform load balancing and autoscaling of communications to the controller/proxy. The controller/proxy may be configured to write session data to the session database, and the controller/proxy may be configured to read secrets to the secrets management server.