Execution surface
Secure AI Infrastructure
Rytuz AI — Secure Machine Access
Infrastructure for AI systems to operate a user's local or authorized remote machines in a controlled, bounded and observable way.
MCPAuthorized execution
RegistryMachine lifecycle
AuditObservable actions
RecoveryBounded recovery
Bounded execution
AI access is not a single command; it is a chain of permission, lifecycle, audit and recovery.
Machine registry + lifecycle
Bounded operation
Observable record
Controlled recovery
The challenge
Enable an AI agent to do real work without giving it unrestricted machine access, while making permission, audit, recovery and lifecycle boundaries explicit.
What we built
An execution platform is being developed around MCP-compatible access, machine registry/lifecycle, audit and recovery components.
Verified capabilities
- MCP-compatible execution surface
- Machine registry and lifecycle
- Audit records
- Recovery mechanisms
- Bounded and controlled automation
Repository evidence
src/oryx_access/mcp_local.pysrc/oryx_access/machine_registry.pysrc/oryx_access/machine_lifecycle.pysrc/oryx_access/audit.pysrc/oryx_access/recovery.py