The Trust Lifecycle for Safe, Secure and Reliable AI Agents

This InfoQ presentation introduces the Agent Trust Lifecycle framework for building reliable, safe, and secure AI agents. It covers engineering practices from development through production, including testing at scale, runtime guardrails, and automated optimization techniques. The talk is designed for software engineers and architects building production AI agent systems who need to address unique failure modes like biased outputs and goal hijacking.