How a security firm vetted FireTail on itself before recommending it to clients.

The challenge.

AI adoption inside CSP's client organizations was accelerating, and shadow AI was becoming a real exposure. Clients wanted a way to see and govern the AI their people were using, without shutting productivity down.

Before CSP would recommend an approach, it had to prove that approach on itself. That meant deploying a tool across its own workforce, with its own data on the line, and judging it exactly as its clients would.

A tool that looked good in a demo was never going to be enough.

The solution.

CSP deployed FireTail Workforce AI across its own team. It went in light, through a browser extension and workspace integrations, and produced a real inventory of AI usage in days.

Policy at the point of use replaced blanket bans, so the firm stayed productive while it stayed in control.

The results.

FireTail earned its place in CSP's recommended stack the hard way, by working on CSP first. The firm saw the shadow AI it suspected was there, set sensible controls, and kept its team productive throughout.

Because CSP lived with the tool before recommending it, the endorsement is grounded in its own experience, not a vendor pitch. The firm knows how FireTail deploys, how it behaves day to day, and where it fits in a client environment.

The firm ran FireTail on itself first, judged it against a high bar, and stayed.