The Agent Certification Framework (ACF) is an independent behavioral certification standard for deployed AI agents. ACF v1.1 defines 32 tests across four suites — Commitment Boundary (CB, 8 tests), Consistency (CS, 7), Hallucination Detection (HD, 7), and Adversarial Resistance (AR, 10) — covering the primary classes of behavioral failure observed in production AI agent deployments.
ACF certifies the agent as deployed — including its system prompt, tool configuration, retrieval pipeline, and operating context — not the underlying model in isolation. This distinction is fundamental: two agents built on the same model can have materially different behavioral profiles depending on how they are configured and constrained.
This document is the authoritative specification for ACF v1.1. Operators, auditors, buyers, and regulators should reference this document when interpreting ACF certificates or designing certification submissions. The working group charter, auditor accreditation criteria, and operator registration agreement are companion documents available via registry@acfstandards.org.