Conventional threat detection methods rely heavily on historical data and signature-based detection, which are limited in their ability to detect novel or evolving cyber threats. As cyber-attacks become more dynamic and sophisticated, there is a pressing need for approaches that can anticipate, track, and analyze emerging threats in real-time. Data science approaches, particularly AI and ML, offer powerful tools for analyzing vast amounts of data, recognizing patterns, and predicting future threats. This research seeks to develop and apply AI/ML techniques to track emerging threats, providing national cyber defense systems with the ability to preempt and mitigate cyber-attacks more effectively.

Objectives

• Develop AI/ML Models to identify, classify, and predict emerging cyber threats based on large datasets.
• Analyze and Track Emerging Cyber Threat Patterns: Leverage data science techniques to monitor and analyze evolving cyber-attack patterns, identifying key trends and indicators of new threats.
• Enhance Situational Awareness for Cyber Defense: Utilize AI/ML to improve situational awareness by providing insights into ongoing and potential future threats, enabling a more proactive defense strategy.
• Produce Reports and Recommendations: Provide comprehensive reports on emerging threats and AI/ML capabilities, offering strategic insights and recommendations for enhancing national cyber defense.

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