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Amazon Rekognition Face Liveness Adds Feedback Codes to Improve Verification

Amazon Rekognition enhanced its Face Liveness feature to provide specific feedback codes identifying causes of low liveness scores for user guidance.

AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE

Retrospective edition: 2026-09-28. Source published: 2026-09-28. Added to this archive: 2026-11-03. This briefing was prepared later from the linked announcement; it was not published on this website on the historical edition date.

Amazon Rekognition Face Liveness verifies a person's presence through a guided selfie video to prevent fraud from photos, masks, or deepfakes. The new update returns Feedback Codes in API responses pinpointing factors like poor lighting, face obstruction, or closed eyes that contributed to low confidence scores, helping users correct issues before retrying.

These codes facilitate better user experience in identity verification workflows by allowing targeted improvements in liveness sessions, reducing retries. The service operates across multiple AWS regions, supporting identity verification and re-authentication scenarios, with feedback codes enhancing transparency of the verification process. This update represents a software enhancement rather than changes in verification technology.

Source & further reading

Amazon Rekognition Face Liveness now returns Feedback Codes ↗

Source published 2026-09-28. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.