Dynamic Cyber-Training Mission Provisioning for Flexible Threat Simulation
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Solution Overview
Problem
Current cyber training systems are inflexible, costly, and struggle to keep up with the rapidly evolving cyber threat landscape, providing limited training benefits and failing to prepare experts for diverse cyber threats.
Innovation Solution
The Orion system allows users to dynamically create and configure cyber-training environments using a mission design methodology, network templates, and plugins to automate the creation of varied training missions with virtual networks and real-time assessment, enabling flexible and adaptable training scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual customization is performed for each industry target, then training needs are satisfied, but system cost and complexity increase
Solution Approach 1:
The system divides the training platform into modular components including virtual network modules, training scenario modules, and industry-specific configuration modules. Each module can be independently configured and combined, allowing customization for different industries without requiring complete system redesign, thus reducing overall complexity while maintaining adaptability.
Solution Approach 2:
The patent implements a universal training platform framework that can serve multiple industries through configurable parameters and templates. The system uses industry-agnostic core functionalities with customizable overlays, enabling one system to fulfill diverse training needs across healthcare, finance, energy, and other sectors without proportional increases in complexity.
2Device complexity
If fixed training applications are used, then system simplicity is maintained, but training flexibility and benefits are limited
Solution Approach 1:
The system transitions from static fixed training applications to dynamic configurable training environments. The platform allows real-time modification of training scenarios, network configurations, and threat models through automated generation processes, enabling the same system infrastructure to adapt to different training objectives without manual reconfiguration of the entire system.
Solution Approach 2:
The patent implements automated copying and instantiation of training scenarios from templates. Pre-defined training archetypes can be rapidly replicated and customized for specific industries or threat models, providing flexibility without requiring unique system configurations for each training program, thus maintaining simplicity while enhancing adaptability.
3Ease of operation
If training systems are updated manually, then control over training content is maintained, but the pace of updating lags behind technology evolution
Solution Approach 1:
The system implements automated self-updating capabilities through integration with threat intelligence feeds, vulnerability databases, and technology evolution tracking. The platform can automatically generate new training scenarios based on emerging threats and technological changes, reducing reliance on manual updates while maintaining content quality and relevance. Administrators retain oversight through configuration approval workflows.
Data Source
AI summary
Methods and systems allow a user or operator to easily create cyber-training environments for use in a cyber-training system. In one embodiment, the environments are configured as missions. The missions may have a plurality of features, such as training objectives, a mission storyline, a mission order and mission objectives, relative to a mission environment. The mission environment comprises a virtual environment, such as defined by a virtual network having virtual machines or devices.