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Validation Rules

Overview

Validation rules are predefined checks applied to ensure that data entered or processed meets specific accuracy, format, and completeness standards. In compliance and identity verification, validation rules help verify that customer-provided information such as date of birth, phone number, or account number follows the required structure before further processing.
For example, a rule may confirm that an email contains “@,” or that an ID number matches the expected digit length. In KYC, KYB, and AML workflows, validation rules reduce errors, prevent incomplete submissions, and improve data quality.
They also play a key role in fraud prevention by blocking obviously false or manipulated inputs. For banks, fintechs, and payment providers, implementing strong validation rules streamlines onboarding, supports regulatory compliance, and ensures reliable data for downstream processes like risk scoring and transaction monitoring.

FAQ

What are validation rules?

Automated checks that confirm data meets format and consistency requirements.

Why are they important?

They prevent bad data entry, reducing errors and compliance gaps.

Where are they used?

In KYC onboarding, periodic reviews, and transaction monitoring systems.

How do they improve compliance?

By ensuring data integrity and supporting accurate AML screening.