Cybersecurity Framework

Cybersecurity frameworks are evolving to address the complex and multifaceted nature of modern cyber threats, particularly those involving artificial intelligence. Current research focuses on integrating large language models (LLMs) and other AI techniques into threat detection, response, and risk assessment, leveraging architectures like Retrieval Augmented Generation (RAG) for improved knowledge retrieval and accuracy. This work highlights the need for comprehensive frameworks that encompass not only technical aspects but also social, economic, and political dimensions, ultimately aiming to improve the security and resilience of systems in a rapidly changing technological landscape.