Deterministic runtime safety for AI agents: scan PII, gate tool actions, verify LLM output.
The enforcement layer between AI and action · AI proposes an action. BoundaryAI independently determines whether that action is authorized before execution. Deterministic decisions, model-agnostic enforcement, cryptographically verifiable evidence. · When an AI agent takes the wrong action, your company owns the outcome. · What happens when AI guardrails fail? · We didn't build better guardrails. We changed where enforcement happens. · Intelligence and authority are different things.
| Тип | MCP-сервер |
| Категория | MCP-серверы |
| Цена | бесплатно |
| Платформа | Командная строка |
| Системы | cli, api |
| Хостинг | cloud |
| Установка | mcp |
| Протоколы | mcp |
| Язык сайта | en |
| GitHub | skvcool-rgb/BoundaryAI |
| Запуск | 2026-07-25 |