About
The Safety Architecture Framework provides a defense-in-depth approach for designing and managing autonomous AI systems. It offers a structured methodology for implementing critical safety layers—from low-level resource limits and circuit breakers to high-level anomaly detection and mandatory human approval gates. By integrating patterns like global kill switches and resource isolation, this skill ensures that autonomous agents fail gracefully, maintain operational boundaries, and remain under human control, making it essential for production-grade AI applications and business-critical automations.
