Regex for Identity: Data Validation & Accuracy
Blog post from Didit
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Regular expressions are presented as a programmatic tool for improving the accuracy and security of digital identity verification by checking whether user-provided data conforms to expected formats. They can validate fields such as email addresses, international phone numbers, Social Security numbers, passport numbers, addresses, and dates of birth, helping reduce invalid entries, fraud risk, manual review needs, and onboarding delays. Effective implementation requires patterns that are sufficiently specific without being so restrictive that they reject legitimate users, along with use of anchors, character classes, quantifiers, escaped characters, and thorough testing against valid and invalid inputs. Regex should complement rather than replace other validation methods, including schema checks and external data sources. Didit states that its identity platform supplies prebuilt and customizable regex patterns through a workflow engine, citing a 15% reduction in address-related manual reviews after stricter regex validation was introduced.
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