Risk classification is the process of placing an AI use case into a legal category that determines which obligations apply. Under regimes such as the EU AI Act, classification can decide whether a system is prohibited, tightly regulated, or mainly subject to transparency duties. The result is not just a legal label: it sets the baseline for documentation, human oversight, testing, logging, and post-deployment monitoring.
In cyber security, risk classification matters because it turns governance into a control point. A misclassified system may skip required safeguards, leaving gaps in audit trails, incident response, or user notices. Attackers can also benefit when organizations deploy unreviewed or “shadow” AI tools outside approved categories. Defenders use classification to inventory AI use cases, document intended purpose, and map controls to the correct legal tier. In practice, strong classification supports secure design, easier audits, and better accountability when AI systems affect sensitive decisions or regulated workflows.