Human-in-the-Loop AI Agents: Approval Gates for Risky Tool Calls
Use this human-in-the-loop AI agent checklist to decide when risky tool calls need approval, how to review arguments, and how to log approval decisions.
AI Agent Observability Checklist: Traces, Metrics, Logs, and Alerts
Use this AI agent observability checklist to trace agent runs, monitor model and tool behavior, control cost, debug failures, and alert on production risk.
RAG Evaluation Checklist: Retrieval, Grounding, Citations, and Answer Quality
Use this RAG evaluation checklist to test retrieval quality, grounding, citations, answer completeness, prompt injection risk, and regression behavior before production.
Prompt Injection Testing Checklist for AI Agents
A practical prompt injection testing checklist for AI agents covering direct attacks, indirect injection, malicious tool outputs, authorization, data leakage, and regression tests.
AI Agent Security Audit Checklist: What to Review Before Production
A practical AI agent security audit checklist covering prompt injection, RAG trust boundaries, tool permissions, guardrails, logs, cost, latency, and retesting.
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.
AI Agent Guardrails: What They Catch, What They Miss, and How to Test Them
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: Threats and Defenses
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.
How to Secure AI Agents in 2026: A Practical Checklist
A practical, vendor-neutral AI agent security checklist covering prompt injection, least-privilege tools, deterministic authorization, human approval, isolation, logging, and adversarial testing.