Gartner® Magic Quadrant™ for Identity Verification
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iGaming firms need to implement multi-layered prevention strategies to combat fraud. Verifying identities, analyzing behaviors, securing payments, conducting regular audits and training staff are all part of this strategy. This section describes some of the tools that are being used to prevent fraud.
Artificial intelligence is revolutionizing online gambling, as AI algorithms can analyze large amounts of data to predict user behavior, including gambling patterns. Machine learning models adapt continuously to identify new identity fraud tactics, improving accuracy of AI-based verification processes and increasing the ability to catch AI-based spoofing attacks. Armed with these tools, iGaming platforms can identify problem gambling behavior and take responsible gaming measures.
The other side of the AI coin is the misuse of AI in peer-to-peer gambling, where AI-driven cheating may become an increasingly prevalent problem. To combat this trend, we predict gaming operators will increasingly use biometric identification and AI integration to more closely monitor games and catch cheaters in near real-time.
Biometric verification systems have evolved over the years from simple facial and fingerprint recognition to more complex systems. Artificial intelligence and machine learning play a key role in this transformation, as AI-powered systems are now adept at recognizing patterns, identifying anomalies and detecting inconsistencies in biometrics. This provides an additional layer of security in the verification process and helps to prevent deep fakes and spoofing.
Liveness checks are becoming increasingly important in biometric technology to ensure that the data is captured from a living person who is physically present. Some liveness checks require the user to make real-time movements like blinking or smiling, whereas more sophisticated solutions can detect liveness from the simple act of taking a selfie. This adds an extra layer of protection by verifying the authenticity of the person undergoing verification.
The trend of age verification is growing, particularly in sectors that have content restricted to adult audiences, like online gaming. Biometrics simplify this process and offer a quick, easy way to confirm users’ ages.
Privacy and ethics are becoming more important as biometric data is increasingly used. These concerns are being actively addressed by regulatory bodies, which prioritize user consent, data security and ethical considerations. Identity verification providers should capture direct consent from end users and have a clear privacy policy explaining how the person’s biometric data will be used, stored and deleted.
Digital hygiene practices such as password updating and proactive privacy setting management are becoming more important. Multi-factor authentication systems (MFA), which combine passwords, biometrics and one-time codes to enhance authentication across different sectors, are rapidly evolving. Because some two-factor authentication methods such as SMS-based authentication are vulnerable to manipulation and can be bypassed by hackers, multi-factor authentication is rapidly becoming the new standard.
