Our Story
Our Story
AI is no longer an experimental technology. It has become work infrastructure — and it is now becoming something more: a participant that reads, decides, and acts inside enterprise systems.
The first wave of enterprise AI risk was simple to state: what did an employee paste into a chat box? Unapproved tools, sensitive data in prompts, no record of any of it. That is the problem FlowGuard AI was built to solve, and it has not gone away.
But the ground has shifted. Through MCP and agent frameworks, AI now connects straight into internal wikis, databases, ticketing systems, and code repositories — and calls tools on its own. Data can leave without anyone typing a single sensitive character. The question is no longer what was said to the AI, but what the AI did.
So the control point has to move with it. Visibility into which AI tools are wired to which systems, policy checks on what an agent is about to do, and an audit trail of the actions it took. We are extending the platform along exactly that line — from prompt-layer protection toward MCP visibility and action guardrails.
We are not in the business of keeping AI out. We are in the business of letting enterprises hand AI more authority — safely.