AI Agent Deployment Runbook
A practical deployment runbook for AI agents covering scope, release packages, pre-launch checks, gradual rollout, monitoring, and rollback.
Practical, source-backed guides for securing AI agents, RAG systems, tool use, prompt-injection defenses, guardrails, authorization, monitoring, and reliability testing.
A practical deployment runbook for AI agents covering scope, release packages, pre-launch checks, gradual rollout, monitoring, and rollback.
A practical AI agent red team checklist for testing prompt injection, tool misuse, data exposure, refusals, and regression coverage before launch.
A checklist for AI agent audit logs covering decision paths, tool events, policy decisions, correlation IDs, log protection, and post-launch review.
When should an AI agent hand off to a human? This checklist covers mandatory escalation, uncertainty signals, context preservation, loops, and metrics.
How to design an AI agent evaluation dataset that covers real workflows, risky cases, expected outcomes, metadata, and monthly refreshes.
Prepare customer support teams to explain, triage, and escalate AI agent issues after production launch.
Design AI agent SLA and incident communications for wrong answers, unsafe actions, data exposure, degraded models, and customer impact.
Build an AI agent compliance evidence pack for customer security reviews, procurement, audits, and internal governance.
Use AI agent failure mode analysis to identify how an agent can fail, how to detect it, and what controls to add before launch.
A practical AI agent vendor risk questionnaire for security, procurement, data governance, model controls, tool permissions, and exit risk.