Workshop
A facilitated two-day session that frames the agent's intended behavior, its operating envelope, and the questions the assessment must answer.
Human Intelligence publishes HI-AAF — the assurance framework for autonomous AI agents in production. We assess, certify, and operate the human review layer that makes ongoing trust possible.
An AI agent can be secure — patched, scanned, network-isolated — and still be untrustworthy. Trust is a question of behavior under uncertainty: does the agent do the right thing when the situation drifts from its training?
Does it know when to escalate? Does it improve? Security frameworks were written for code, not for systems that make judgments.
Trust requires a different standard — one written for behavior, not for binaries; one that does not end at deployment but persists through every interaction the agent has with a real customer.
Compliance frameworks have always followed the technologies they govern. SOC 2 followed cloud. HI-AAF follows agents.
Ownership, policy, and risk-management discipline for every agent in production.
Behavior, capabilities, and constraints validated before deployment and on material change.
Scoped identity, least-privilege credentials, and clean attribution for every agent action.
Defense against direct and indirect prompt injection, including through memory and retrieval.
Tool allowlists, blast-radius limits, and pre-execution review for irreversible actions.
Classification, isolation, and lifecycle of data across prompts, memory, and retrieval.
Groundedness, safety, fairness, and provenance of outputs — and trust in upstream providers.
Per-step logging, drift detection, and a qualified human review queue with documented SLAs.
Cross-agent identity, authorization, blast radius, and propagation of suspend across the chain.
A facilitated two-day session that frames the agent's intended behavior, its operating envelope, and the questions the assessment must answer.
A structured pre-assessment against the nine domains, returning a written readiness opinion and the work required to meet the Standard.
The formal evaluation of an AI agent against HI-AAF, conducted by Human Intelligence assessors and concluding in a published Letter of Assessment.
Continuous review of the agent's behavior in production, with quarterly findings and a documented record of corrective action.
Written assessment that an AI agent meets the Standard, reviewed annually and issued by Human Intelligence.
Beneath every certification under HI-AAF sits a human review layer — a trained, accountable group of reviewers whose work is to keep the Standard a living thing rather than a one-time stamp. They watch what the agent does after the assessors leave.
Reviewers receive escalations from certified agents, judge them against the controls written into the Standard, and return findings that flow back into the agent's operating record. Where behavior drifts, they intervene. Where the Standard itself proves thin, they say so.
This is the discipline that distinguishes assurance from inspection: people working steadily, in the open. It is what we mean when we call our own organization Human Intelligence.
HI-AAF v1.2 is an independent framework published by Human Intelligence. It is not affiliated with NIST, ISO, AICPA, or any government or accreditation body. The framework is offered openly for review during the current draft cycle.
End of prospectus. — Human Intelligence, MMXXVI.
Imprint of Human Intelligence
Independent Framework Publisher
MMXXVI · Seattle · Singapore