Future Trends and Trials in Cybersecurity and Generative AI

Abstract

The relationship between the fields of generative (AI) and cybersecurity offers both opportunity and danger as technology continues to grow at an unimaginable rate. The emergence of 5G networks and the spread of internet of things (IoT)-connected devices are changing the challenging landscape in the field of cybersecurity. The predictions point to an increase in complex cyberattacks using AI-driven strategies like adversarial machine learning and deepfake methods. Simultaneously, content manipulation are being revolutionized by the rise of generative AI technologies such as deep learning and GANs (generative adversarial networks). The AI-generated synthetic media contributes to existing problems with digital trust and authenticity by posing moral questions about identity theft and disinformation. In conclusion, managing the intersection of cybersecurity and generative AI requires proactive steps to fully utilize AI's potential while minimizing its inherent risks. This chapter includes solutions like anomaly detection systems and AI-powered threat intelligence.