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Generative AI in Cybersecurity: Balancing Innovation and Risk ↗ source

July 3, 2025 CERT-EU Guidance

Summary

Generative AI in Cybersecurity 5.3 Privacy-focused commercial closed-source models with specific conditions of use . 12 Some portions of this document were crafted with a little help from our internally deployed AI models (powered by Llama 3.3 - 70B). While we have fine-tuned and polished the content, this also showcases how Generative AI can be a powerful tool – especially when running on your own infrastructure for greater control, security and privacy. Generative AI refers to a class of artificial intelligence models designed to simulate humanlike creativity and adaptability by generating new content, data, or outputs based on learned patterns from vast datasets. These AI systems can be applied across a wide range of domains, from natural language processing to computer vision. For example, Generative AI can create realistic images, draft human-like text, compose music, or design novel chemical compounds. Notable examples include large language models (LLMs) such as OpenAI’s GPT series, Mistral Le Chat, Google’s Gemini, and Meta’s LLaMA, as well as text-to-image generation tools like OpenAI’s DALL-E and Stability AI’s Stable Diffusion.

News Coverage

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CVEs Referenced in This Publication

No CVEs are referenced in this publication.

Vendors Named in This Publication

Each vendor links to its Known Exploited Vulnerabilities catalog page. Only vendors that appear in the KEV catalog are listed, either because the publication cites one of their KEV entries or because it names them directly.