#cybersecurity

Dark web analytics for ransomware threat actor profiling

This project investigates active ransomware groups and attempts to identify their key characteristics, attack signatures, victims, and stolen data. The expected outcome is development of a dataset to serve as an essential resource. The project will potentially provide more knowledge on ransomware groups, their tactics, techniques, and procedures for launching attacks.

Enhancing cybersecurity with AI and Large Language Models 

This project will explore the integration of artificial intelligence (AI) and large language models (LLMs) to predict organisational cybersecurity risks and mitigate threats in advance. The expected outcomes are an enhanced cybersecurity framework, better threat intelligence techniques and user-centric designs, and an adaptable solution. This may help businesses to identify cyber risks and prevent cyber incidents prior to happening and avoid financial losses and brand damage.