Welcome to KYC and AML on Payment Streets—where trust, identity, and clean money keep the payment world moving. KYC (“Know Your Customer”) and AML (“Anti–Money Laundering”) are the rules and tools that help businesses verify who’s behind an account, spot suspicious behavior, and stop financial crime before it spreads. Whether you’re a fintech builder, a merchant onboarding new customers, or just curious about how modern payments stay compliant, this category turns complex compliance into clear, actionable knowledge. Here you’ll explore how identity checks work in real life: document verification, selfie and liveness checks, address and business validation, sanctions screening, beneficial ownership, and ongoing monitoring after onboarding. We’ll break down risk-based approaches (not one-size-fits-all), explain common terms like CDD, EDD, PEPs, and transaction monitoring, and highlight the user-experience balance—keeping friction low while meeting regulatory expectations. You’ll also find practical guides on building workflows, handling false positives, reducing abandonment, and documenting decisions for audits. KYC and AML isn’t just a box to check—it’s a framework that protects platforms, customers, and ecosystems. Start here to understand the rules, the technology, and the smartest ways to apply them.
A: KYC verifies who a customer is; AML is the broader program to detect and prevent illicit activity.
A: “Know Your Business”—verifying an entity, owners, and controllers, not just an individual.
A: To confirm the person is real, matches the document, and reduce identity fraud.
A: Lists of restricted individuals/entities—screening helps prevent prohibited activity.
A: You apply stronger checks to higher-risk customers, products, and geographies.
A: Similar names and incomplete data—good processes include review and tuning.
A: Not always—details may need refresh and activity should be monitored continuously.
A: Automated + manual review of activity to spot unusual patterns and red flags.
A: Use guided capture, clear error messages, and step-up checks only when needed.
A: Evidence reviewed, decisions made, timestamps, reviewer identity, and follow-up actions.
