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Initial-Copy332
u/Initial-Copy332
Disclosure: I’m the founder of Guard0 and one of the maintainers of g0.
Four months ago, I asked this community what was actually blocking AI agents from reaching production. The discussion kept returning to visibility, permissions, auditability, and continuous monitoring.
We built an open-source, local CLI to tackle the developer-machine and repository side of that problem:
The Nx supply-chain attack specifically searched infected developer machines for Claude, Gemini, and Q configuration files and authentication tokens. More recently, researchers found hundreds of malicious skills in the ClawHub marketplace.
That left us with a basic question that was surprisingly difficult to answer:
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Been chatting with a bunch of folks across enterprises over the past few months and the AI agent space is moving fast. Some teams are planning to deploy hundreds, even thousands of agents — IT automation, customer-facing companion agents, internal workflow agents, you name it.
What's interesting is the split in how people are building them. Some are going the data platform route, extending their existing infrastructure. Others are building custom agent platforms from scratch. And there's a growing camp betting heavily on MCP architecture with tool-chaining and plugins. Each approach has its own trade-offs, but they all seem to converge on the same set of blockers once you try to move past t
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