The AI Guardrails Index is a comprehensive benchmark designed to help AI developers and LLMOps engineers implement responsible AI applications by selecting optimal safety guardrails tailored to specific use cases. Developed by Guardrails AI, the index evaluates over 20 leading guardrail solutions across six critical safety domains, including jailbreak prevention, PII detection, content moderation, hallucination detection, competitor presence, and restricted topics. It emphasizes the importance of aligning guardrail selection with relevant safety domains, balancing performance with usability, and prioritizing latency for real-time applications. In addition to the index, an in-depth benchmark report offers detailed insights into the evaluation process, metrics, and industry-specific recommendations, aiming to empower AI teams to enhance the safety and reliability of their LLM-powered applications. The initiative encourages AI teams to use the index in their decision-making processes, contributing to the development of a safer and more reliable AI ecosystem.