Affiliation:
1. Lovely Professional University, India
Abstract
The utilization of generative artificial intelligence (AI) techniques offers a viable approach to improving defense measures and protecting digital assets in the quickly changing field of cybersecurity. In order to clarify how these cutting-edge technologies support cyber resilience and counter new threats, this chapter examines the developments and uses of generative AI in cybersecurity. The first part of the chapter lays out the fundamental ideas of generative AI and explores important techniques like variational autoencoders (VAEs) and generative adversarial networks (GANs). After that, a number of real-world uses for generative AI in cybersecurity, such as threat and anomaly identification and the use of honeypots for deception, are discussed. Case studies demonstrate how effective generative AI is at strengthening cyber defenses. The chapter also addresses the difficulties and ethical questions that arise when using generative AI to cybersecurity, highlighting the significance of careful utilization and ongoing research to reduce such hazards.