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.
| Type | MCP server |
| Section | MCP servers |
| Pricing | free |
| Platform | Command line |
| Systems | cli, api |
| Hosting | cloud |
| Install | mcp |
| Protocols | mcp |
| Site language | en |
| GitHub | skvcool-rgb/BoundaryAI |
| Launched | 2026-07-25 |