How Artificial Intelligence is reshaping the landscape of fraud?

Don’t let your organisation fall victim to evolving fraud tactics – download the infographic now!

Highlighting emerging fraud types fueled by AI.

Tackle new challenges with AI-driven security solution

Digital Security Suite

In response to these challenges, Worldline has developed Digital Security Suite, offering a device intelligence solution based on AI and machine learning, specifically designed to combat fraud and identity theft for our customers. Our solution has the capability to protect all devices against various types of fraud during sensitive operations such as authentication, payment, and digitalization of sensitive use cases. Furthermore, our solution is built exclusively on device-based intelligence and does not depend on payment habits.

All fraud risks are covered!

Malware

Any type of software designed to harm a computer system, disrupt its operations, steal information, gain control or cause other damage to data, devices or users.

Bad faith

A payer who refuses to acknowledge that they have actually validated the transaction. The bank has 10 days to prove negligence or bad faith.

Phishing

A payer who refuse to admit that they have actually validated the transaction. The bank has 10 days to prove negligence or bad faith.

Account takeover

An unauthorised access and control of a user’s account by an unauthorised individual or entry. This occurs when a malicious actor gains access to a person's login credentials.

Mobile SIM Swap

Fraud technique that involves transferring a victim’s phone number from their original SIM card to a new SIM card controlled by an attacker.

Authorised push payment

A payer is misled into authorising a transfer of funds to a scammer or fraudster.

Social engineering (app scams, impersonation, etc)

Tactic of manipulating, influencing, or deceiving a victim in order to steal personal and financial information.

How will our solution respond to concrete fraud use cases?

Would you like to learn more?

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