Beyond Aggregate Scores: The Domain-Specific Truth About AI Security

Single-score AI security rankings are fundamentally misleading because different models excel in different security domains. An aggregate benchmark declaring one model 'safest' fails to capture that each model dominates in specific areas—a finding that fundamentally changes how organizations should select AI for security-critical tasks. Domain-specific evaluation, not overall ratings, should drive AI model selection.