WordPress Training
Ressources

Security and Data Protection with Mollie: An Overview

Payment data is sensitive. If you use Mollie as your payment provider, you want to know how secure your customers' data is. Here is my overview.

At a glance

  • Mollie is PCI-DSS certified and encrypts all payment data.
  • Privacy policies are transparent and GDPR-compliant.
  • Fraud prevention runs automatically and manually.

Security standards at Mollie

Mollie encrypts all payment data. PCI-DSS certification is in place — that is the industry standard for credit card security. Regular security audits are part of it. (The advantages of Mollie) For you as a shop operator, that means: you do not have to handle payment security yourself. Mollie takes care of that.

Data protection at Mollie

Mollie clearly documents which data is collected and for what purpose. (Mollie vs Stripe) This is GDPR-compliant. As a shop operator, you have to mention Mollie in your privacy policy. Which data is transmitted is set out in the Mollie documentation.

Payment security for your customers

3D Secure is active. (Payment methods in WooCommerce) Transactions are checked in real time. Suspicious payments are blocked automatically. Your customers notice none of it — except that everything works smoothly.

Fraud prevention

Mollie uses algorithms that analyse transaction patterns. In addition, a team reviews suspicious cases manually. This combination of technology and people catches most fraud attempts before any damage is done.

Mollie takes the security work off your hands. If you want to learn more about Mollie and WordPress, take a look at my training.

Frequently asked questions

How secure is my data with Mollie?

Mollie encrypts all payment data and is PCI-DSS certified. Regular security audits are standard.

Which payment methods does Mollie support?

Credit cards, PayPal, Bancontact, iDEAL, SOFORT and other local methods.

How does fraud prevention work at Mollie?

Algorithms check transactions in real time. A team additionally reviews suspicious cases manually.

Further reading