As generative AI relies increasingly on scraped data, critical questions emerge at the intersection of copyright law, cybersecurity, and ethical AI governance. This panel explores the growing debate around exempting AI model training from copyright protections, examining the cybersecurity implications of widespread web scraping for model training and other uses. Panelists will discuss arguments that unauthorized scraping constitutes copyright infringement. They will also discuss how unauthorized scraping is an abuse of digital services, raising significant privacy and security risks for companies, including unauthorized access, system vulnerabilities, and data breaches. Attendees will learn actionable strategies to manage scraping threats, navigate evolving legal frameworks, and protect their organizations’ digital infrastructure in an AI-driven world.