Artificial intelligence and human intelligence merge to increase cybersecurity for iGaming platforms

Cybersecurity has made huge improvements over the past several years, in no small part to the introduction of machine learning (ML) and artificial intelligence (AI). Online platforms that are required to maximize their security efforts, such as virtual casinos, have been able to take advantage of the improvements to produce more secure solutions for their users, but AI can’t do it alone. Instead, it is combining its strengths with those of human security experts to ensure a greater level of protection for users.

ML, combined with AI, incorporates a system that continuously learns from experience and increases its capabilities. It is able to reduce the amount of resources and time needed to reinforce cybersecurity efforts and can identify potential threat patterns based on examples, instead of through programming. This proactive approach leads to increased protection and minimized risks for both the platform and the user.

ML and human intelligence combine to offer an advanced security solution. There are always new security threats being released, which is where ML excels. It can spot problems at scale, almost before they happen, but these threats still need to be confirmed by human security experts to prevent false-positives from occurring. Because of the number of threats that are being introduced, AI-based ML cybersecurity solutions can analyze thousands of data streams at once, sending the questionable results to a human analyst for confirmation or rejection. This strengthens the casino’s security posture while, at the same time, mitigating the possibility of an attack.