Traditional approaches to identifying and mitigating threats in national security often lag behind the pace of technological advancements. Emerging disruptive technologies (EDTs) such as AI, 5G/6G, and quantum computing can outpace conventional defenses. As EDTs continue to evolve, there is an urgent need for more agile and predictive systems capable of identifying these developments before they manifest as full-scale threats. This research seeks to address this gap by utilizing AI-powered models to analyze vast datasets and generate forecasts on potential technological disruptions in the cyber defense landscape.

Objectives

• Develop AI-Powered Forecasting Models: Utilize AI techniques (e.g., NLP, LLMs, LSTM etc.) to forecast the emergence of disruptive technologies that could impact national security.
• Evaluate the Impact of EDTs on Cyber Defense: Assess the potential impact of identified EDTs on national security cyber defense capabilities, with a focus on vulnerabilities, emerging threats, and defense strategies.
• Generate Reports and Recommendations: Produce comprehensive reports on findings and offer strategic insights for integrating AI-driven forecasting into existing national security frameworks.

Requirements

• Strong Interest in Cybersecurity and Defense Topics
• Experience in Data Science, NLP or/and AI techniques
• Experience in at least one programming language (e.g.,Python)
• Strong problem solving and analytics skills
• Mindset to learn new skills