Generative AI rewriting cybersecurity rules for enterprises and policymakers.

Generative AI poses unique challenges to cybersecurity and has prompted the need for new regulations. Unlike other types of software attacks, generative AI attacks can be executed by anyone with creativity and malicious intent, regardless of their coding knowledge. Hackers can use creative wordplay and prompts to trick AI models and gain unauthorized access to information. In response to this threat, industry-wide collaboration is necessary. The cybersecurity community must share knowledge and collaborate to compile threat data and develop effective security measures. Open-source datasets and government-led efforts are important parts of this collaboration. Additionally, cybersecurity teams need to understand the nuances of generative AI and develop security processes and standards to protect organizations. Education and support for cybersecurity leaders are crucial to the successful integration of generative AI into enterprises.