This article examines the dual nature of Generative AI in cybersecurity, detailing how it can be exploited by cybercriminals and simultaneously used to enhance defenses. It covers the history of AI, the emergence of GenAI, potential threats, and mitigation strategies.
The article introduces the concept of Federated Language Models, combining edge-based Small Language Models (SLMs) with cloud-based Large Language Models (LLMs) for enhanced privacy and performance in AI applications.
