GLOSSARY
Fraud Detection / Risk Assessment
Tools and models that score transactions or accounts to block or step-up risky activity.
Fraud detection (risk assessment) evaluates transactions, accounts, or devices to spot abuse. Signals include device fingerprints, behavior, velocity, chargeback history, and identity data.
For cards, models can adjust friction by context: card-present vs. card-not-present, use of network tokenization, or wallets like Apple Pay and Google Pay. Strong risk controls reduce card fraud and chargebacks.
In the product
Where this term matters in operation.
The glossary is not meant to be academic. It explains the language teams use in Kotao while selling, planning, paying, reporting, and automating.
In sales
Terms like this appear inside POS, checkout, bookings, offers, and customer communication.
In back office
Finance, inventory, HR, and reporting need the same meaning so reports do not drift apart.
In integrations
APIs, imports, webhooks, and exports work better when teams use the same definitions.
Related terms.
Acquirer
Bank or payment institution that signs merchants and routes their card transactions into the card networks.
Apple Pay
Mobile wallet by Apple that tokenizes cards for contactless and in-app payments.
Card Fraud
Unauthorized card use or theft of credentials to initiate transactions.
Card Network
Payment network (e.g., Visa/Mastercard) that sets rules and routes card transactions between issuers and acquirers.