Generative Artificial Intelligence for Next-Generation Security Paradigms

1Introduction to Generative Artificial Intelligence

Ch Raja Ramesh¹*, P. Muralidhar¹, K. M. V. Madan Kumar², B. Srinu¹, G. Raja Vikram¹ and Rakesh Nayak³

¹Department CSE, Vignan Institute of Technology and Science, Deshmukhi, Hyderabad, India

²Alliance School of Advanced Computing, Alliance University, Bangalore, India

³Department of CSE, O. P. Jindal University, Raigarh, India

Abstract

“Generative AI” is a subpart of artificial intelligence that creates new content similar to the data it was trained on instead of just interpreting and evaluating pre-existing information. Unlike the outmoded Artificial Intelligence systems that are designed for specific tasks, Generative Artificial Intelligence (GAI) system models can produce novel products across various areas or domains, such as images, text, music, and more. At the core of generative AI are generative models, which learn the underlying patterns and structures of the training data and then use that knowledge to generate new samples. GAI has several applications across different types of domains, such as image generation, Video cohort and NLP etc. Many models have been implicated in applications like the entertainment industry, virtual reality, and generative models like Open AI’s GPT (Generative Pre-Trained Transformer) series can generate intelligible and contextually relevant text based on the provided input. Such models have applications in content generation, dialogue systems, and language translation.

However, GAI also ...