Non-Human Identity for AI Agents
Why AI agents need non-human identity, scoped credentials, delegated access, approval trails, and auditability before they touch production systems.
May 213 min read
Field guides for agent workflows, MCP tooling, evals, production handoffs, and the architecture behind software that actually ships.
Why AI agents need non-human identity, scoped credentials, delegated access, approval trails, and auditability before they touch production systems.
Runtime governance for AI agents: policy checks, approvals, traceability, live tool controls, kill switches, model routing, and release gates.
How to create AI agent release gates with evals, red-team cases, tool permissions, approval checks, cost budgets, observability, and rollback.
A practical MCP security checklist for AI agent teams: server trust, tool permissions, prompt injection, secrets, sandboxing, audit logs, and approvals.
How to design AI agent architecture for regulated industries: data boundaries, approvals, audit logs, explainability, policy checks, evals, and human oversight.
A practical guide to governing AI agent Skills: ownership, versioning, permissions, reviews, evals, rollout, and rollback.
A lightweight governance model for startups shipping AI agents: approvals, data scopes, model routing, Skills, MCP tools, evals, audit logs, and release gates.