Threat Landscape

The evolving threat landscape in cybersecurity encompasses a broad range of attacks, from increasingly sophisticated malware and social engineering campaigns leveraging generative AI to backdoor attacks targeting federated learning systems and deepfakes threatening online platforms. Current research focuses on developing robust detection and mitigation strategies using advanced machine learning models, including vision transformers for malware classification, and large language models (LLMs) for threat intelligence analysis and automated response systems. This research is crucial for improving cybersecurity defenses, particularly against AI-powered attacks, and for informing the development of more secure and resilient systems across various sectors.