KYC API – simple implementation of comprehensive customer identification
21/01/2025
Online dating in the KYC era – how does technology help to find true love?
With the growing popularity of dating apps and sites, the issue of user security is becoming increasingly important. Fake profiles, financial fraud, bots – these are all threats that can exist on platforms if they are not properly secured. In this context, KYC (Know Your Customer) and KYU (Know Your User) services are becoming key tools to protect those looking for love online. Find out how identity verification helps to eliminate threats, thereby increasing user satisfaction and security.
Dating services – the most common types of scams
Dating websites and apps have become an integral part of many people's lives. Over the years, only the level of advancement in the available functionalities of these sites has changed, but their main role – connecting people looking for love – has remained the same. Unfortunately, in addition to real users, fake accounts have also started to appear on dating platforms. It is estimated that 20% of profiles on dating apps are accounts created for fraudulent purposes. This is a worrying percentage that requires action. Fake accounts can cause a number of problems, including phishing, obtaining personal information or invading users' privacy.
Different types of fraud can be found on dating sites:
- Financial scams – criminals, having established an emotional connection with the user, exploit their trust by manipulating them with a made-up story about a difficult life situation to extort money. They often use false tales of illness, accidents or urgent financial needs to get the victim to send funds.
- Phishing attempts – the aim of scammers is to obtain your private personal information, such as your PESEL numbers, credit card details or bank account logins. Such information is used for further crimes, such as identity theft, taking over bank accounts, taking out loans in someone else's name, or selling the data on the black market.
How do KYC and KYU help prevent fraud?
KYC (Know Your Customer) is the process of verifying the identity of users, which involves checking documents such as an identity card or passport. KYU (Know Your User), which is an analysis of user activity that involves examining the behaviour and activity of users on the platform to catch suspicious behaviour.
Benefits of implementing KYC and KYU
- Fraud prevention – KYC and KYU systems help to effectively eliminate fake accounts by verifying users' identities and monitoring their activity. Verification of identity documents blocks the creation of fictitious profiles, and analysis of user behaviour detects suspicious activity such as fraud attempts. These solutions enable platforms to respond quickly to threats, providing a secure environment.
- Increased sense of security for users – when users feel that the platform cares about them, they are more likely to use the app and establish relationships. Identity verification gives them peace of mind that they are not dealing with scammers.While the blue checkmark symbol does not guarantee that every conversation with a verified person will be successful, it does ensure that we are dealing with a member of a trustworthy community.
- Regulatory compliance – the introduction of identity verification processes is often a requirement under new legislation. In many countries, dating platforms are required to ensure that only adult users use them. The use of appropriate verification procedures is therefore not only beneficial, but also legally required.
Protect your users with Digital Gateways
Digital Gateways offers comprehensive solutions to protect users on dating platforms. In practice, how can the verification of people using this type of service look like?
- KYC – with identity verification, both via document scanning (OCR, NFC) and biometrics, DG provides full user security. Services such as open banking, myID or mCitizen 2.0 enable effective verification and protection of personal data.
- KYU – device and user behaviour analysis enables the creation of a unique ‘fingerprint’ based on data such as location, IP address and device parameters. This helps to detect spoofing and device masking, which increases security and effectively protects against fraud on dating platforms.