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The Dark side of AI
Manage episode 514289469 series 3660582
Dave에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Dave 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
"Just ask Dave send him a text"
In this episode of the AI Voice Bot Podcast, host Dave, a 20-year veteran in voice technology, explores the growing cybersecurity threat landscape facing AI systems.
The discussion reveals that 38% of AI security incidents in the past year involved compromised training data, showing how vulnerable machine learning models are to manipulation. Key threats include data poisoning, evasion attacks, and model inversion, with real-world examples — from autonomous vehicles misidentifying traffic lights to healthcare AIs leaking patient data.
The hosts highlight that traditional cybersecurity isn’t enough; AI needs a Zero Trust framework, where every dataset, model interaction, and API call is treated as untrusted until verified. They stress techniques like differential privacy, federated learning, and confidential computing as essential defences.
The episode closes by emphasizing that AI itself has become the new attack surface — and that securing it is crucial to maintaining public trust in automation.
Listeners are encouraged to follow, rate, and share the show, and to connect directly with Dave from AI Voice Solutions, the team behind ib2-powered bots that bring smarter, more secure voice automation to business.
Key takeaway:
AI security isn’t about walls anymore — it’s about trust, verification, and vigilance.
📣 Get in Touch
Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.
- 🌐 Website: ai-voice.ai
- 📞 Book a Call: Schedule a 30-min chat
- 🔗 LinkedIn: Dave
- 💬 Text "Just ask Dave"
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