

Ian Webster
Founder of PromptFoo, specializing in AI safety and security. Contributes expertise on vulnerabilities within AI models and user protection.
Top 3 podcasts with Ian Webster
Ranked by the Snipd community

28 snips
Jul 29, 2025 • 2h 19min
The Metis List of Top AI Researchers, High Schoolers Beat AI At Math Olympiad, Apple Might Ditch Camera Bump, GPT-5 Rumors Heating Up | Ryan Petersen, Ty Haney, Antonio García Martínez, Ian Webster, Ori Eldarov, Aaron Tan
Ryan Petersen, founder and CEO of Flexport, shares insights on transforming logistics technology and his company's acquisition of Convoy’s tech. Ty Haney discusses revitalizing Outdoor Voices through community engagement, while Antonio García Martínez reveals the impact of Spindl's acquisition by Coinbase on on-chain advertising. Ian Webster highlights security challenges in generative AI, and Ori Eldarov explains how his AI-native investment bank is supporting underserved businesses. The group also humorously discusses high schoolers outperforming AI at a math Olympiad.

25 snips
Feb 28, 2025 • 52min
What DeepSeek Means for Cybersecurity
Ian Webster, founder of PromptFoo, discusses vulnerabilities in AI models and user protection, emphasizing the need for caution with DeepSeek's backdoors. Dylan Ayrey from Truffle Security highlights the security risks of AI-generated code, urging developers to ensure safety through robust training alignments. Brian Long of Adaptive focuses on the threats posed by deepfakes and social engineering, stressing the importance of vigilance as generative AI evolves. Together, they navigate the complex landscape of AI security, calling for proactive measures against emerging risks.

21 snips
Aug 2, 2024 • 45min
Democratizing Generative AI Red Teams
Ian Webster, founder and CEO of PromptFoo, shares his insights on AI safety and security, emphasizing the critical role of democratizing red teaming. He argues that open-source solutions can help identify vulnerabilities in AI applications, making security accessible to more organizations. The conversation also touches on lessons learned from Discord's early AI integration, the evolution of structured testing for more reliable AI, and the need for practical safeguards to tackle real-world risks rather than merely focusing on model size.