In Australia, nearly 38% of people gamble at least once a week. The problem is that fraud is also on the rise. This means that punters want to be certain their accounts won’t be hacked. Fraud can take on many forms, and for a casino to be successful, it has to offer security.
This is where AI technology comes in. In recent years, artificial intelligence has taken the central stage in making websites such as Playamo Casino safer. Find out how Playamo and many others use AI to prevent fraudulent activities.
Why Are Online Casinos Always a Target?
Casinos generate billions of dollars every year worldwide. For example, Australia is expected to reach around A$15 billion this year. It has money and data galore, so it’s natural that cyber-criminals are drawn to the industry. Short of robbing a bank, where else could they come across that kind of money?
Because of this attention, platforms have to deal with numerous fraudulent activities such as:
- Bonus Abuse: A player creating multiple accounts to claim the Playamo no deposit bonus
- Identity Theft: Cybercriminals are trying to steal data using hacking or phishing
- Payment Cheat: A criminal using stolen or illegitimate credit cards to make a payment
- Cheating Punters: Players sharing cards or valuable information privately to cheat the system
Technology is improving every day, but cyber-criminals are getting more and more creative too. With the spotlight on them, platforms such as the Playamo casino have to try particularly hard to protect their assets.
AI Fraud Detection Technologies in Casinos
Criminals are getting smart, but so are those in charge of cybersecurity. One of the most common AI-based fraud detection technologies used by platforms is behaviour pattern recognition.
Here, the algorithm goes through vast amounts of data to determine if there’s an anomaly there. The security service gets a notification if there are unusual login times, sudden location changes, or rapid betting patterns.
Machine learning algorithms also help spot scams before they have a chance to get big. These systems use historical data to predict when something is likely to be fraudulent. This could be the use of multiple payment methods, multi-account strategies, and more.
If the data flags a profile as a fraud risk, the AI system automatically goes into action. They can freeze an account, block payments, or trigger extra ID verifications. Platforms such as Playamo Casino Australia do this to keep damage at a minimum and ensure rapid mediation.
Are There Any Challenges?
AI fraud detection significantly helps Playamo casino and other platforms to prevent fraudulent activity. That said, this doesn’t mean it’s free of challenges. For example, AI needs massive amounts of data. Humans may know what’s ok to tap into and what’s not. AI, on the other hand, can have difficulty discerning right from wrong.
When training their AI systems, casinos have to adhere to data protection systems such as GDPR. Systems have to be transparent, secure, and free of bias. Plus, incorrectly trained AI can lead to false flags, which potentially frustrate punters. This could cause them to stop using the casino, especially if their accounts are constantly frozen.
What Can We Expect in the Future?
AI will continue to improve iGaming experiences for punters. For instance, the predictive models will catch inconsistencies from the moment someone performs the Playamo casino login.
Behavioural biometrics will also be used to identify users by the way they move their mouse. Neural networks will become better interconnected, identifying repeated offenders without compromising real user privacy.
With algorithms becoming better trained, the chances of bias will be less frequent. With time, this will improve fairness.
AI is becoming more and more of an asset, especially for iGaming platforms. The technology’s ability to go through vast amounts of data improves its ability to catch fraud, protecting unsuspecting punters. As the system evolves, it will catch even more complex threats in the future.
Article and permission to publish here provided by Alexandra Braun. Originally written for Supply Chain Game Changer and published on May 16, 2025.
Cover image provided by Alexandra Braun.