Output Scanning
The process of analyzing AI model responses for policy violations, PII leakage, harmful content, or hallucinated information before delivering them to user
Definition
The process of analyzing AI model responses for policy violations, PII leakage, harmful content, or hallucinated information before delivering them to users.
Why It Matters for AI Governance
Output scanning is the second line of defense after input redaction. Models can generate personal data from training data, hallucinate identifiers, or produce content that violates organizational policies. Scanning catches what input controls miss.
How CrewCheck Handles This
CrewCheck's LLM gateway applies output scanning-related controls at the request boundary. Every AI call passes through detection, policy evaluation, and audit logging — ensuring that output scanning is addressed consistently across all teams and providers.
The governance dashboard provides real-time visibility into output scanning events, with drill-down capabilities for compliance officers and exportable evidence for auditors.