How to Evaluate an AI Agent: Task Success, Safety, Cost, and Latency
A practical framework for evaluating AI agents with task success, safety, cost, latency, traces, datasets, and release gates.
A practical framework for evaluating AI agents with task success, safety, cost, latency, traces, datasets, and release gates.
Learn where AI agent guardrails work, where they fail, and how to test input, output, tool, approval, and authorization controls before production.
Prompt injection in RAG and tool-using agents is a trust-boundary problem, not a prompt-quality problem. This guide shows the defenses that actually matter.
A practical, vendor-neutral AI agent security checklist covering prompt injection, least-privilege tools, deterministic authorization, human approval, isolation, logging, and adversarial testing.