Bridging AI Innovation and Cybersecurity: Generative AI's Contribution to NIS2 Compliance

Abstract

The digital world is changing quickly. One big area of focus is how artificial intelligence (AI) fits in with cybersecurity. New rules, like the NIS2 Directive, are pushing organizations to keep their systems secure. This research looks at how generative AI can help meet those safety standards. More companies are using generative AI for things like data creation and risk assessment. This gives them a chance to improve their security practices. We explore how AI tools, like machine learning and natural language processing, can help find weaknesses, predict threats, and respond to incidents. This way, companies can follow the tough rules set by NIS2. We analyze how AI is currently used in cybersecurity. The goal is to share best practices for using these technologies well. We also address the challenge of keeping new tech secure.  In the end, we want to add to the conversation about AI and cybersecurity. We give advice for policymakers and business leaders on how to use generative AI as a smart tool for both innovation and meeting NIS2 requirements. This study highlights how generative AI can help improve cybersecurity while also fulfilling regulatory needs in today's tricky digital landscape.