CYBER1 Solutions EMEA White Paper Generative AI, the good, the bad, and the ugly

November 24, 2023

Generative Artificial Intelligence (AI) has emerged as a powerful force in transforming various industries, enabling machines to create content, mimic human behaviours, and generate hyper-realistic outputs. However, while the advancements in generative AI bring about numerous benefits, there is a parallel concern regarding the cybersecurity threats it poses.

Understanding generative AI Generative

AI refers to a class of machine learning models designed to generate new content that closely resembles human-created data. These models, often based on deep neural networks, learn patterns from vast datasets and can produce text, images, audio, and even video content that is indistinguishable from those created by people.

A notable example is Generative Pre-trained Transformer 4 (GPT-4), a multimodal large language model created by OpenAI, and the fourth in its series of GPT foundation models. Another is DALL-E, an AI system by the same developer that can create realistic images and art from a description in natural language.

It encompasses a range of technologies, including generative adversarial networks (GANs), natural language processing models, and deep learning algorithms, that can create data, images, or text that closely mimic real, legitimate content.

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