Examining Cybersecurity Risks Produced by Generative AI

As generative artificial intelligence (AI) evolves it introduces new opportunities across industries from content creation to problem-solving. However with these advancements come significant cybersecurity risks that demand closer scrutiny. Generative AI capable of producing text images code and deepfakes presents challenges in cybersecurity. Malicious scammers could leverage these technologies to automate cyberattacks create sophisticated phishing schemes or bypass traditional security systems with efficiency. This intersection of cutting-edge AI and cybersecurity concerns requires new organizational safeguards for digital environments highlighting the need for new protocols regulations and proactive defense mechanisms to mitigate potential threats. Examining Cybersecurity Risks Produced by Generative AI addresses the intersections of generative AI with cybersecurity presenting its applications potential risks and security frameworks designed to harness its benefits while mitigating challenges. It provides a comprehensive up-to-date resource on integrating generative models into cybersecurity practice and research. This book covers topics such as deepfakes smart cities and phishing attacks and is a useful resource for computer engineers security professionals business owners policymakers academicians researchers and data scientists.