See the dangerous path before the agent takes it.
Boundary is a predictive security layer for autonomous AI agents and MCP systems. It evaluates what a modeled action makes reachable next — not only whether the action is allowed right now.
Experimental / non-production. Current predictive validation is scoped to modeled sensitive external disclosure.
Traditional security checks the action.
Boundary checks the future it creates.
Agentic systems can chain individually legitimate actions into a dangerous outcome. Boundary reasons across information flows, capabilities, derivations and communication paths to detect when modeled sensitive external disclosure becomes reachable.
Model
Describe agents, capabilities, information flows, communication paths and safety invariants.
Predict
Before execution, Boundary determines whether the proposed action makes a modeled sensitive external disclosure reachable.
Enforce
Allow safe actions, require human approval for predictive risk, and block prohibited behavior.
Put Boundary in front of the tools you already use.
Boundary discovers tools from an existing MCP server, mirrors their interface and evaluates each modeled action before it is forwarded upstream.
Reason about modeled sensitive external disclosure before the terminal action.
Pause predictively risky actions and require explicit one-shot approval.
New or unmodeled upstream capabilities cannot silently bypass the security model.
Record enforcement, approvals and execution decisions for investigation and governance.
Tested through a real MCP execution path.
Boundary has moved beyond an in-memory security model. The current alpha has been exercised through real MCP processes and reproduced in a fresh internal environment.
Real MCP chain
A real MCP client, Boundary proxy process and real upstream MCP process have been exercised end-to-end.
Before-upstream enforcement
Allowed operations reached the upstream server. Blocked and approval-gated operations were withheld before the corresponding upstream side effect.
Predictive intervention
In controlled testing, Boundary gated a currently safe action when modeled sensitive external disclosure became reachable downstream.
Clean-room reproduction
The controlled workflow was reproduced internally from a fresh checkout and virtual environment.
A development-quality signal, not a claim of universal correctness or independent validation.
Challenge Boundary on a workflow we did not design.
We're recruiting external technical evaluators to reproduce the controlled workflow and then test Boundary against an independently selected MCP or agent workflow.