A North Carolina musician was arrested after using AI to generate fake bands and bots to stream their songs—racking up over a billion plays and pocketing $10 million in fraudulent royalties. It’s the first U.S. case of AI-driven music streaming fraud, and it’s less about music than it is about bots exploiting business models. For enterprises, the lesson is simple: if you treat all traffic as legitimate, bots will eat your margins. With AI making bot behavior increasingly human-like, traditional defenses like packet filtering or basic behavior analysis are no longer enough. In this episode of #F5's Pop Goes the Stack, Lori MacVittie is joined by Principal Threat Researcher, Malcolm Heath, as they dive into the challenges of defending against AI-driven bots, especially as tools and agentic #AI make attacks more sophisticated. They uncover key strategies to identify and neutralize bots while exploring the evolving role of observability and behavioral detection in enterprise security. Chapters: 00:00 Welcome to Pop Goes the Stack 00:39 AI-Driven Music Fraud: Exploiting Business Models 02:27 Why Is Detecting Bots So Difficult? 04:25 Levels of Bot Sophistication 07:02 The Goal of Bot Defense: Costs vs Automation 09:13 The Impact of AI Tools on Bot Detection 11:53 Agentic AI and Call Patterns 13:16 Observability and Signals in Bot Detection 16:14 Economic Impact of Bots and Defense Strategies 18:19 Key Takeaways Learn how you can stay ahead of the curve and keep your stack whole with additional insights on #AppSecurity, multicloud, AI, and emerging tech: https://go.f5.net/jz7206g1 Read more about the AI Music Fraud case: https://go.f5.net/8xhceby5 More about F5: https://go.f5.net/nwqqpi6s Read our blog: https://go.f5.net/fj86uc4d Follow us on LinkedIn: https://go.f5.net/0oh3zq3m

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