Works where your people work — and where agents run
Endpoint visibility sees what a proxy can't, including local and remote MCP traffic.
Use cases · Agentic AI & MCP governance
Agents and MCP connections move data between tools automatically — often in ways a proxy can never see. CultureAI is building visibility and control for agentic AI, so autonomy doesn't become your next blind spot.
The reality
Agents chain tools together; MCP moves data between local and remote systems. It's powerful — and it's a governance gap most security stacks have no answer for. Proxy-based tools in particular can't inspect the data flowing between local and remote MCPs.
year-over-year growth in data shared with AI tools
Cyberhaven, 2024
AI tools CultureAI discovers and classifies
CultureAI Radar
of security teams lack visibility into which AI tools employees use
Cisco AI Readiness Index, 2024
Where agentic risk shows up
Policy applied before anything is sent
What you can do
Endpoint-level visibility is what makes agentic governance possible where proxies fail.
Endpoint-level visibility into activity network tooling misses.
Govern agent and MCP connections (on the roadmap; already requested in enterprise RFIs).
Apply context-aware detection to what agents move, not just what people type.
A record of what agents did with your data.
Why CultureAI
Endpoint visibility sees what a proxy can't, including local and remote MCP traffic.
Deploys via MDM or GPO like any managed software. Pre-trained detection means no classification project before real risk is surfaced.
Built and hosted in the UK, so your data stays under UK jurisdiction.
Customer Stories
“A proxy can't see the MCP data moving between local and remote systems. Endpoint visibility is the only thing that can, which is why we're talking to CultureAI about it early.”
See where CultureAI is taking visibility and control for agents and MCP.