Monte Carlo saw what its AI tools and users were really doing.
As Monte Carlo moved fast with AI and modern development tools, Wing helped its lean security team find shadow platforms, understand real use cases, and turn fragmented signals into action.
Wing has done a really good job of giving us visibility into things we didn’t even know were happening.
The risk was not just unknown tools. It was unknown intent.
Monte Carlo’s teams were moving quickly with AI and developer tools. People could spin up platforms, connect workflows, and expose meaningful data before security had a complete picture.
The security team did not need another alert feed. They needed to understand what was actually happening, who was behind it, and which use cases created real risk.
- Shadow platforms appearing without oversight
- Unclear usage patterns across AI and developer tools
- Fast-moving AI adoption outpacing security visibility
Identity showed access. Wing showed context.
Identity tools could show who logged in. But Monte Carlo needed the next layer: what users were doing inside systems, why they were using them, and how those actions connected to business use cases.
Wing actually lets me see what people are doing inside those systems and why.
Wing turned fragmented activity into security context.
Wing helped Monte Carlo connect users, apps, endpoints, AI tools, and actual use cases into a clearer picture of risk. Instead of guessing, the team could ask Wing who was using the systems they cared about, what else those users relied on, and where action was needed.
Context changed the conversation from “is this tool present?” to “does this use case make sense?”
Faster answers. Better decisions. Less guesswork.
Wing surfaced platforms and usage the team did not know existed.
The team could find and resolve risks faster with a more accurate picture of what was really there.
Wing provided visibility the team otherwise would not have had.
Wing data helped identify specific use cases the business actually wanted and could use.
By understanding the app environment, the team could reduce reliance on risky third-party tools.
It allowed us to go find these risks a lot more quickly.
"That gave me real data to work from instead of guessing."
For Monte Carlo, the value was not only discovering tools. It was understanding real usage well enough to make better security and business decisions.
See what your AI tools and agents are actually doing.
Wing helps security teams learn their organization’s context, understand evolving risk, and act with confidence as AI adoption accelerates.