Every AI safety tool today puts guardrails inside the model prompt filtering, RLHF, Constitutional AI, output validation. They all share one flaw: if you trick the AI, the safety breaks too.
In February 2026, Claude was jailbroken and 150GB of government data was stolen. GPT-5 was broken in 24 hours. Microsoft Copilot had a zero-click vulnerability that exfiltrated files without user interaction.
We asked a simple question: what if enforcement didn't live inside the AI at all?
BoundaryAI is a separate engine. It sees only structured action data "file.delete, count=200, scope=bulk." It doesn't read prompts, context, or reasoning. Pure deterministic rules. The same input always gives the same output.
Every major AI has been jailbroken. Claude, GPT-5, Copilot. Guardrails failed because they lived inside the model.
BoundaryAI sits outside the AI. Deterministic rules block dangerous actions before execution — no AI in the enforcement path, can't be jailbroken.
Three domains no competitor covers: digital agents, physical machines, data governance. 148 tests, zero bypasses. Sub-microsecond. Patent Pending.
