AI is everywhere. Governance isn't 🔐 Developers are spinning up AI apps faster than ever. It's great for innovation, but without a clear security strategy, the enterprise is left exposed. To secure the business without slowing developers down, Jaimin Patel breaks down how Prisma’s AI Gateway layers machine-speed governance, runtime security, and total visibility right into the workflow. See how it works. https://bit.ly/4cnd7GF

Absolutely... As AI becomes embedded across the enterprise, governance has to evolve with it. A systems perspective reminds us that every new capability changes the conditions around it, dependencies expand, decisions accelerate, and consequences travel further. Governance therefore cannot sit outside the system; it has to operate within it.

AI adoption will scale sustainably only when governance and security are embedded into the development workflow from the start. The challenge is to give developers speed and flexibility without sacrificing visibility, control or accountability.

As AI agents become more autonomous, should organisations be treating them more like employees with identities and permissions rather than simply software?

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the gap between how fast AI apps get built and how much security even knows about it is kind of wild right now. good breakdown of closing that gap without slowing developers down to do it.

A really important point. As AI adoption accelerates, having the right governance and security in place will be critical to scaling innovation safely.

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AI everywhere without governance is a risky combination. 🔥

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Innovation moves fast, but security can’t be left behind!

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