
brian.feldt@wwt.com
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Episodes: 101
Frequency: Weekly
Rating: 5.0/5.0
Estimated listeners: <1k
Gender skew: Unknown
Location: USA
YouTube: 10.9k subscribers
Instagram: 11.0k followers
brian.feldt@wwt.com
For verified host and producer emails, sign up to view.
Brian Feldt - Host of the AI Proving Ground Podcast, leading discussions about enterprise artificial intelligence strategy, infrastructure, deployment and adoption.
Maciej Kranz - Enterprise Data Architecture For Agentic Artificial Intelligence, Unified Data Management, Governance, Secure Access And Inference-ready Information.
Will Eatherton - Networking, Storage, Orchestration And Security Requirements For Scalable Enterprise AI Infrastructure.
When AI Agents Cross the Boundary: Securing the AI Factory
July 29, 2026
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,...
A New Data Architecture for Agentic AI
July 22, 2026
AI is forcing enterprises to reconsider what their data infrastructure was built to do. Everpure GM Enterprise Maciej Kranz and WWT Principal Solutions Architect Bob Watson discuss why storing data is no longer enough—and what it takes to make information accessible, governed, secure and ready for inference.They examine the shift toward unified data management, whole-stack AI architecture, shorter investment cycles and governance models designed for a world in which applications, employees an...
Your AI Agents Are Ready to Act. Is Your Architecture Ready?
July 18, 2026
AI agents are getting remarkably good at deciding what to do. The harder question is whether they should be allowed to do it.For the last year, Model Context Protocol (MCP) has been viewed as a way to connect AI models to tools. As enterprises move from copilots to autonomous agents, it's becoming something much bigger: the architectural layer that determines how agents access data, interact with systems and operate safely at scale.Brian Feldt sits down with WWT's David Geddam and C...
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