Custom Labels for AI Model Security Scan
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Custom Labels for AI Model Security Scan

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Custom Labels for AI Model Security Scan

Custom Labels for AI Model Security Scans lets you attach key-value metadata to model scans, enabling teams to organize, filter, and manage security findings at enterprise scale.
Custom Labels for AI Model Security Scans enables you to attach custom key-value metadata to your model scans, providing essential organizational context for enterprise-scale security operations. When you run security scans on your AI models, the results exist in isolation without the operational context your security teams need to effectively triage, assign, and remediate findings. This feature allows you to categorize scan results based on your specific organizational requirements, whether you need to distinguish between production and development environments, assign ownership to specific teams, track compliance framework requirements, or integrate with your existing CI/CD workflows.
Key Benefits:
  • Flexible Labeling Options—Attach custom labels to scan results either at scan time through the API and SDK or retroactively through the user interface, accommodating both automated and manual workflows.
  • Simple Schema-Free Format—Uses straightforward string key-value pairs that adapt to diverse organizational structures without enforcing rigid schemas (such as, "environment:production", "team:ml-platform", "compliance:SOC2").
  • Rich Contextual Categorization—Apply multiple custom labels to each scan result, creating comprehensive categorization that reflects your operational reality.
  • Powerful Filtering Capabilities—Quickly isolate scan results by any combination of criteria rather than manually tracking which scans belong to which systems or teams.
  • Compliance and Audit Support—Generate targeted audit reports for specific regulatory frameworks, enabling compliance teams to focus on relevant security findings.
  • Team-Specific Focus—Allow security teams to prioritize production environment issues while development teams correlate scan results with their deployment pipelines.
  • Seamless Integration—Comprehensive API support enables automated custom labelling in CI/CD systems while providing intuitive user interface controls for manual management.
  • Enterprise Scalability—Essential for scaling Model Security across enterprise environments where hundreds or thousands of scans must be efficiently categorized, filtered, and acted upon by distributed teams with varying responsibilities and access requirements.