As the digitalization is increasing day by day the concerns and regulatory concerns especially in the areas of data privacy and customer authentication is also increasing day by day.
Legislative drafts are becoming stricter and stricter when it comes to operator liability in the fight against underage and overly enthusiastic players in the gambling business industry. The provisions are very tangible and serious in terms of fines and license revocation if operators allow users from the above categories to play on their platforms.
An effective and reliable id verification process is in the interest of either party. This would increase the level of security and create a transparent background that would suit both players and operators. On this issue, the challenge is this: how can operators ensure that the identification process remains not only effective but also effective?
AI-Based Identity verification
State identity cards, accounts and bank guarantees are already actively used in order to confirm the identity of the person being registered. The information received, in turn, is checked in a variety of databases. Manual checks are very lengthy and do not exclude the possibility of human error – two problems that can be solved by one method: artificial intelligence.
Artificial intelligence is able to solve its tasks faster and much more accurately. In addition, some operators are already working in this direction, using artificial intelligence to recognize players with behaviors that indicate excessive enthusiasm.
ID verification using biometrics
While some lawmakers are wary of the capabilities of mobile technology to provide accurate user identification, a combination of artificial intelligence and biometric technology can provide a more complete (than it currently is) image of the user’s identity.
For example, a request for players to take a selfie with their official identification will allow operators to confirm that the user who opens the account is the same person as the person on the submitted document. Considering how many underage players could potentially get their parents’ data into their own hands (in some countries, stolen identity data is constantly growing), this technique is extremely valuable.
Online ID verification with GEOLOCATION
Geolocation may not be the first decision that comes to mind, however, the feasibility of geolocation data becomes apparent when it comes to companies operating abroad. For example, within the European market, Dutch operators (at the moment) are forbidden to provide gambling services to Dutch citizens, while local platforms can accept players from other countries. Moreover, if suddenly a Dutchman, by mistake or any other reason, is allowed to play on the Dutch platform, then the operator will be forced to pay his price in the form of an impressive fine, which has already happened many times in practice.
History data is the answer to the question of why geolocation data can be extremely useful, allowing operators to track users from “correct” jurisdictions. A similar technique can also be used in combination with the confirmation of the address that the user provides during registration. In addition, geolocation technologies have already significantly developed and moved forward, and therefore take into account factors such as VPN applications and proxy servers.
ID verification solutions checks
Identity verification should include five components:
- assessment of the presented certificate;
- verification of identity regarding its relevance;
- verification of identity regarding the threat of fraud;
verification of the certificate for compliance with the presented document and the user’s identity.
A passport, driver’s license or any other official document containing the initials of the person, address and date of birth can be considered as sufficient evidence to identify the user. In turn, the accuracy of the presented certificate can be verified in state databases; confirmation of regular payments and other banking activities can be an additional security measure. Identity cards that were reported as stolen will fall under the “fraud threat” column, respectively. Ask the user about the information that only he could know, and check the ratio of the photograph of the person to the user – one of the important components when checking the user’s identity.