For AI Vigilance to function as a Governance Function, it requires not only an Operational Function that performs Vigilance activities, but also Audit / Assurance that independently verifies those activities and their Outputs.

Many Organizations already have existing Functions such as Safety Management, Quality Management, Risk Management, Compliance, and Operational Monitoring. Some of their activities, including Incident Collection, Risk Assessment, Monitoring, Compliance Review, and Management Reporting, may overlap with AI Vigilance.

However, Partial Overlap ≠ AI Vigilance. Existing Functions operating independently under different purposes, Reporting Lines, Evaluation Criteria, and Evidence Requirements do not by themselves constitute an integrated Vigilance Function that continuously Observes / Monitors Real-world Operation, Detects and Evaluates Signals, and connects them to appropriate Responses.

The first requirement is Vigilance Reporting Criteria. Rather than Reporting every Observation, these Criteria define what constitutes a Reportable Signal, Incident, or Finding, including relevant Thresholds, Urgency, Materiality, and Reporting Destinations. They determine which observed and evaluated matters become Institutional Records for Reporting.

Under these Criteria, AI Vigilance performs Observe / Monitor, Detect, and Evaluate activities and produces a Vigilance Report. The Report is not merely a collection of Logs. It is a Governance Output that makes it traceable what was observed, detected, and evaluated, and why particular matters became subject to Reporting.

Independent verification of the Vigilance Function itself further requires an Audit / Assurance Standard. This defines the Standards and Evidence used to verify whether Vigilance operated according to the established Criteria, whether necessary Evidence was preserved, whether significant Signals were appropriately addressed, and whether Evaluation and Reporting were properly performed.

An Assurance Conclusion is then formed through Audit / Assurance conducted against that Standard. Accordingly, a Vigilance Report is the Output of Vigilance activities, whereas an Assurance Conclusion is the Outcome of independently verifying the Vigilance Function itself.

Existing Safety, Quality, Risk, Compliance, and Audit Infrastructure can provide an important foundation for this structure. The objective is not to create an entirely new Organization from scratch, but to establish AI Vigilance explicitly as a Defined Function and connect its Inputs, Activities, Outputs, Reporting Criteria, and Assurance Standards.

This enables a transition from simply “monitoring AI” to an Assurance Structure in which AI Vigilance operates according to defined Criteria and its operation is itself independently verifiable.