Recently, the Obot team spent a few days in Vegas at Ai4 talking with CISOs, platform teams, developers, and AI leaders.
One thing became clear: AI governance is quickly becoming an infrastructure problem.
➡️ Full Article
AI tools are already inside the enterprise. Developers are using coding agents, MCP servers, Skills, and AI clients—often running directly on their machines.
The question we heard wasn’t “Should we allow AI?” It was: How do we give teams room to experiment while maintaining visibility and control?
That shift matters. Centralized gateways are part of the answer, but they can’t govern activity that never passes through them. As more of the AI stack moves to endpoints, organizations need a way to manage AI across both centralized infrastructure and developer devices.
We also saw how eager teams are to experiment. Several teams we met deployed Obot’s Community Edition during the conference, and came back the next day having already tested it.
Our biggest takeaway from Ai4? AI adoption isn’t waiting for governance to catch up.
The opportunity is to build infrastructure that lets teams move quickly without sacrificing security. Here’s more on what we learned at Ai4 from Obot AI President and Cofounder Shannon Williams:
Originally published on obot.ai
Top comments (0)