With the rise of autonomous agents, ensuring their behavior remains predictable, safe, and ethical is becoming more critical than ever. In this session, we will explore how to implement semantic, policy-driven, and behavioral guardrails to control agent behavior and keep them within safe bounds. Will cover how these guardrails can prevent agents from making unintended or harmful decisions, especially when interacting with sensitive data or in regulated environments. Using tools like LangChain and LangGraph, we’ll demonstrate how guardrails can be applied to agent systems to maintain safety and compliance, ensuring these systems operate in a responsible and predictable manner. This session is ideal for anyone working with AI or API systems where trust and security are paramount.

Main Stage Session, at API World 2025 (https://apiworldcloudxdataweek2025.sched.com)