Discover how to design autonomous LLM systems that detect, diagnose, and recover from prompt injection attacks, hallucinations, and edge cases without relying solely on external guardrails. This guide provides a developer’s framework for building resilient, production-grade AI applications using multi-layered defense strategies, real-world benchmarks, and auto-correction techniques. Learn how to minimize overhead while maximizing AI reliability and security.