# Developing a Cybersecurity Training Environment through the Integration of OpenAI and AWS
## 2 Materials and Methods
### Review of Similar Works  
In the emerging field of cybersecurity, various research studies and developments have addressed the challenge of training and preparing professionals to face cyber threats. Several studies have explored using simulations and virtual environments for cybersecurity training. For example, works like Cyber Range and other simulation environments offer platforms where participants can practice cybersecurity skills in a controlled environment [22]. These environments are typically highly technical and focus on simulating networks and systems for cyberattack and defense practices. However, they often lack advanced artificial intelligence elements that could provide more dynamic and adaptive scenarios. This work seeks to fill this gap by integrating OpenAI AI to generate more realistic and variable simulations that better reflect the ever-changing threat landscape [23].  
The integration of AI into cybersecurity has been a topic of growing interest. Recent research has demonstrated the potential of AI to improve threat detection and incident response. However, most of these works focus on the application of AI for operating systems and rather than on human training [24]. Our initiative differentiates itself by using AI not only as a cyber defense tool but also to improve the training and preparation of cybersecurity professionals.  
The use of avatars and virtual reality has begun to be explored in cybersecurity training, although it is still in its early stages. Some projects have implemented VR environments to offer a more immersive experience. However, these initiatives often do not fully integrate AI to personalize the learning experience or to simulate advanced interactions [25]. This work moves in this direction by combining avatars in a VR environment with AI, enabling a richer and more personalized learning experience [26].  
Despite significant advances in these fields, notable gaps still exist. One of them is the effective integration of AI to create real-time dynamic and adaptive training scenarios. Additionally, the AI-based personalization of learning to suit different skill levels and roles within cybersecurity is an underexplored area that our project seeks to address [27]. Another area of opportunity is the combination of artificial intelligence and virtual reality technologies to simulate cyber threats and foster soft skills such as decision making, collaboration, and communication in stressful situations. This holistic approach is crucial in preparing cybersecurity professionals, where technical skills must be accompanied by solid decision-making and teamwork capabilities [28].  
This work is distinguished by integrating AI from OpenAI to create more realistic and variable simulations that better reflect the ever-changing threat landscape. Additionally, this initiative highlights the use of AI to personalize the learning experience, adjusting to different skill levels and roles in cybersecurity. Our approach also includes using artificial intelligence and virtual reality technologies for threat simulation and developing essential decision-making and teamwork skills in cybersecurity.