Guardrails AI ensures AI safety, reliability, and risk mitigation in real-time.

AI’s growing role in various industries raises concerns about reliability, bias, misinformation, and privacy risks. Guardrails AI, co-founded by Shreya Rajpal, addresses these challenges by providing a real-time validation layer for AI models, ensuring safer and more predictable outputs. This open-source platform consists of two key components: Guardrails Hub – A collection of 65+ safeguards detecting hallucinations, security risks, and bias. Orchestration Engine – Allows users to configure guardrails, ensuring minimal performance impact. Supporting major AI providers like OpenAI, Google, and Anthropic, Guardrails AI integrates seamlessly with Python-based applications and OpenTelemetry for enhanced monitoring. Its standout feature is low-latency, high-accuracy failure detection, responding in under 100 milliseconds. To further improve AI safety, the team is developing the Guardrails Index, a benchmarking tool to compare various AI risk mitigation strategies. The company is also expanding its approach beyond input-output validation. As AI adoption accelerates, Guardrails AI plays a crucial role in ensuring trustworthy and responsible AI deployment. Developers can contribute via GitHub, LinkedIn, and Discord, helping shape the future of AI safety and reliability.