Stop fraudsters in their tracks with our 5-pillar document tampering detection process

In this video, Uqudo’s Chief Product Officer, Hatim Abdalla, breaks down our 5-pillar framework for detecting document-based fraud, one of the most widespread tactics used in digital identity scams. Drawing from real-world threats and industry best practices, Hatim explains how each layer of this framework works together to strengthen trust in the onboarding process.

Here’s how each pillar helps protect your business:

• Source Detection
  Verifies whether the document presented is a genuine physical ID or if it’s displayed on a screen, printed, or digitally manipulated.

• Image Integrity Analysis
  Uses AI models and metadata to detect tampered ID photos or modified document elements, flagging signs of image editing.

• NFC Chip Verification
  Reads encrypted data from the document’s contactless chip and validates it against trusted government certificates. Also provides high-resolution ID images for face matching.

• Data Consistency Checks
  Cross-checks information such as ID numbers, birthdates, and expiry details across the visual zone, machine-readable zone (MRZ), and NFC chip to catch hidden discrepancies.

• Event-Level Analytics
  Aggregates signals from all validation layers into one unified decision, enabling accurate fraud detection and compliance assessment.

This multi-layered approach ensures accurate decisions, reduced fraud, and a more secure digital identity journey.

Watch the video to see how Uqudo makes digital identity truly secure.