Generative Artificial Intelligence for Next-Generation Security Paradigms

6Cognitive Security: Integrating Generative AI for Adaptive and Self-Learning Defenses

Akruti Sinha¹, Akshet Patel² and Deepak Sinwar³*

¹Department of Computer Science, North Carolina State University, Raleigh, NC, United States

²Department of Computer Science, University College London, London, United Kingdom

³Department of IoT and Intelligent Systems, Manipal University Jaipur, Rajasthan, India

Abstract

The advent of Generative Artificial Intelligence (GenAI) revolutionized our perception of AI, introducing the ability to not only analyze data but also generate entirely new forms of information. Generative AI refers to algorithms that can generate new data, such as images, writing, or music, while replicating patterns from existing datasets. It is employed in various industries, including art generation, text completion, and content creation. There have been ethical concerns about the usage of GenAI but there is no doubt about its prowess and relevance across various interdisciplinary fields. That said, addressing the fallout from GenAI from a cybersecurity standpoint is incredibly important. There have already been a few cases where GenAI has been employed in both offensive and defensive cyberattacks. This chapter focuses on the use of self-learning systems that drive generative AI for adaptive security defenses. In addition, the usage of models of generation in predictive analytics to anticipate and mitigate security threats is of great concern. There is a strong tendency ...