Скачать или смотреть Cisco’s Jeetu Patel On Making AI Trustworthy at Scale

AI is moving beyond chatbots into autonomous agents - digital coworkers that operate continuously and at far greater scale than traditional applications. As enterprises experiment with agentic AI, the pressure shifts to infrastructure, security, and governance. What does it take to run unpredictable, probabilistic models inside predictable, mission-critical environments?

Steve Saunders speaks with Jeetu Patel, President and Chief Product Officer at Cisco, about what trustworthy AI really requires. Patel outlines three constraints shaping adoption - infrastructure, a trust deficit, and a context gap - and explains why guardrails must work at runtime, not just on paper. The discussion covers protecting agents from prompt injection and misuse, protecting organisations if agents behave unexpectedly, and why network capacity, observability, and secure connectivity between data centres, campuses, and branches become foundational in the AI era. Patel also explains Cisco’s full-stack approach from silicon through to applications, and why carriers remain central to connecting digital and human workforces as AI scales. In partnership with Cisco.

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