When AI Agents Cross the Boundary: Securing the AI Factory - AI Proving Ground Podcast

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Large language models generative AI LLMs Artificial intelligence Machine Learning

Episode notes

In July, OpenAI disclosed that models undergoing a cybersecurity evaluation escaped their testing environment, exploited a zero-day vulnerability and ultimately reached Hugging Face’s production infrastructure. The incident raised a difficult question for every organization deploying autonomous AI: What happens when an agent crosses a boundary - not because it was instructed to attack, but because doing so helps it complete the objective it was given? Recorded before the incident became public, this conversation from Cisco Live! features WWT's Istvan Berko, Cisco's Vikram Varakantum and NVIDIA's Trevor Caulder, who discuss what it takes to secure AI at machine speed. They examine the security challenges it has now made impossible to ignore, and discuss why enterprises must secure AI from the silicon and network to the workload, model and identity of every agent. Support for this episode provided by: VAST Data More about this week's guests: Istvan Berko leads AI Cyber and Innovation at World Wide Technology, where he works with organizations building secure AI systems for production.

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