Darkstax-Digital Twin solution for MDO
DarkStax™ core feature simplifies the scenario and content generation process. The approach enables a modern cloud application to be modeled in a fraction of the time, using a building block approach and out-of-the-box automation. DarkStax™ core feature automates infrastructure deployment. It connects to on-premises (e.g., OpenStack, Kubernetes, VMWare) or public (e.g., AWS, Azure, Kubernetes) cloud and automates environment provisioning and deployment. It supports multi-cloud deployment scenarios. Users can drag and drop VM or containers from the image repository and build an infrastructure blueprint. Once the blueprint is created, DarkStax™ generates a Platform as Code (PaC) cloud-compliant file. The multi-cloud feature allows users to bring together multiple cyber ranges to create a federation of cyber ranges which can exchange data with one another to present a more robust Cyber Training environment.
DarkStax™ cognitive agent framework provides scenario (red, blue, gray user activity) and post-deployment composition tools. The framework provides the ability to simplify the development of human behavior models that can act and react or oppose team actions. Such features can virtualize and automate either side of the team. This can reduce manpower requirements for team-based training exercises. It can emulate attacks within the cyber range based on MITRE ATT&CK™ knowledge base of adversary tactics and techniques. The agents must be trained to simulate benign users, user presence, and behavior in the cyber range environment. User emulation refers to both internal and fictitious client users of the simulated environment. The framework's Master Scenario Event List (MSEL) server allows the exercise planner to develop activities and simulate planned activity to perform a lightweight tabletop exercise. Such a feature is crucial to validate the planned training exercise and achieve the cyber training objectives
DarkStax™ simulation of internet services adds the realism of scenarios being implemented by the cyber range. It has state-of-the-art capability to crawl social media platforms, e-commerce, new media, dark web, and other real-world websites to replicate the content in an emulated environment. It can also overlay custom scenarios to drive information operations, themes and messaging and intelligence training objectives. This allows the user to not only replicate the internet but create a hyper-realistic scenario development tool for information advantage training, testing, and analysis.
DarkStax™ Emulation Based Model (EBM) features can emulate software-defined radios and commercial mobile wireless networks in a container-based virtualized environment. The replication of the EBM environment expands the ability to train users under hyper-realistic electronic warfare warfighter effects. The EBM capability also allows creating a digital twin of ICS/OT systems in a cyber range by emulating their behavior and replaying recorded traffic, which can be ingested into the training environment and assessed for network configuration and red threat emulated attacks.
DarkStax™ includes a Data Collection Reduction Analysis – Visualization (DCRA-V) Data 2 Decisions (D2D) engine. It supports agile DataOps methodology for building state of the art and reusable DCRA-V playbooks. D2D's DataOps approach to data analytics automates the orchestration of data to production and the deployment of new features while maintaining impeccable quality across the data platform. D2D's easy-to-use pipeline feature allows data engineers to quickly and intuitively build playbooks (templates) to collect, transform, enrich, correlate, set alerts, route data, and visualize a wide variety of data. D2D allows training instructors and administrators the ability to monitor range activities in real-time and conduct data analytics to provide feedback on the training environment in near real-time.
DarkStax™ cognitive agent framework provides scenario (red, blue, gray user activity) and post-deployment composition tools. The framework provides the ability to simplify the development of human behavior models that can act and react or oppose team actions. Such features can virtualize and automate either side of the team. This can reduce manpower requirements for team-based training exercises. It can emulate attacks within the cyber range based on MITRE ATT&CK™ knowledge base of adversary tactics and techniques. The agents must be trained to simulate benign users, user presence, and behavior in the cyber range environment. User emulation refers to both internal and fictitious client users of the simulated environment. The framework's Master Scenario Event List (MSEL) server allows the exercise planner to develop activities and simulate planned activity to perform a lightweight tabletop exercise. Such a feature is crucial to validate the planned training exercise and achieve the cyber training objectives
DarkStax™ simulation of internet services adds the realism of scenarios being implemented by the cyber range. It has state-of-the-art capability to crawl social media platforms, e-commerce, new media, dark web, and other real-world websites to replicate the content in an emulated environment. It can also overlay custom scenarios to drive information operations, themes and messaging and intelligence training objectives. This allows the user to not only replicate the internet but create a hyper-realistic scenario development tool for information advantage training, testing, and analysis.
DarkStax™ Emulation Based Model (EBM) features can emulate software-defined radios and commercial mobile wireless networks in a container-based virtualized environment. The replication of the EBM environment expands the ability to train users under hyper-realistic electronic warfare warfighter effects. The EBM capability also allows creating a digital twin of ICS/OT systems in a cyber range by emulating their behavior and replaying recorded traffic, which can be ingested into the training environment and assessed for network configuration and red threat emulated attacks.
DarkStax™ includes a Data Collection Reduction Analysis – Visualization (DCRA-V) Data 2 Decisions (D2D) engine. It supports agile DataOps methodology for building state of the art and reusable DCRA-V playbooks. D2D's DataOps approach to data analytics automates the orchestration of data to production and the deployment of new features while maintaining impeccable quality across the data platform. D2D's easy-to-use pipeline feature allows data engineers to quickly and intuitively build playbooks (templates) to collect, transform, enrich, correlate, set alerts, route data, and visualize a wide variety of data. D2D allows training instructors and administrators the ability to monitor range activities in real-time and conduct data analytics to provide feedback on the training environment in near real-time.
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