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Bots vs Business: AI Fraud & Defending Your Margins
Manage episode 513674678 series 3686079
A tartalmat a F5 biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a F5 vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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, Lori MacVittie is joined by Principal Threat Researcher, Malcolm Heath, to 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.
Learn how you can stay ahead of the curve and keep your stack whole with additional insights on app security, multicloud, AI, and emerging tech: https://www.f5.com/company/octo
Read more about the AI Music Fraud case: https://www.wired.com/story/ai-bots-streaming-music/?utm_source=chatgpt.com
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