Building Resilience Against Cybersecurity Risks of Generative AI
Jamal Sami Zraqou, Wissam Alkhadour, Jawad Hasan Alkhateeb · Advances in computational intelligence and robotics book series · 2025
Current advanced AI technologies like LLM and popular generative AI technologies based on generative adversarial networks (GANs) are revolutionising industries. Yet, it brings about severe cybersecurity threats at the same time. This chapter goes over one general risk of generative AI: fake information, or Generative AI Misinformation and Deepfakes, and six more specific risks: Generative AI Phishing, Generative AI Data Poisoning, Malicious Code Generation by Generative AI, and Privacy Violation by Generative AI. It raises the purpose of misuse with an elaboration of social engineering, smart malware, and leakage of sensitive data. This chapter provides a framework of measures: using detection tools, fortifying defences against phishing attacks, securing training data, proper control of AI misuse, and better data privacy regulation. Minimizing these risks, organizations, and stakeholders will be able to safely take advantage of reasons for the implementation of generative AI.