Understanding & Using Identity Risk Scores

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

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Identity risk scores provide a 0-to-100 measure of a user’s potential fraud risk, enabling more nuanced decisions than simple verification pass or fail results. Didit calculates these scores in real time using factors including document authenticity, biometric face matching, liveness detection, device and IP intelligence, and screening against sanctions, politically exposed person, and fraud watchlists. Suggested actions range from automatic approval for scores of 0–20 to immediate blocking and investigation for scores above 80, though organizations should adapt thresholds to their risk tolerance, regulatory obligations, and operating context. By integrating scores through Didit’s API into automated decision engines, businesses can trigger approvals, monitoring, requests for additional evidence, manual reviews, or declines while also considering transaction details and user history. Didit also offers configurable thresholds, audit logs, and broad data coverage to support fraud prevention, compliance, and verification investigations.

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