AWS Entity Resolution adds record-level confidence scores for ML matching

AWS Entity Resolution now provides record-level confidence scores for its Machine Learning-based matching workflows. This enhancement offers a per-record signal of model confidence, enabling customers to apply differentiated thresholds and qualify more records for downstream activation. The change facilitates larger addressable audiences, improved lead conversions, and maintains compliance-grade match transparency with audit-ready evidence. This functionality is available in all AWS regions where the service operates, with no schema changes required for incremental ML workflows.