Artificial intelligence is able to detect and block security threats as soon as they arrive
In your use of the Internet, you may have encountered a CAPTCHA that asks you to prove that you are human and not a bot. These types of tests prove that there are, in fact, bots on the Internet, and these bots are not wanted by a large number of sites. Many online casinos within the iGaming industry avoid being attacked by these malicious bots at all costs. The implementation of artificial intelligence (AI) has become the ideal aid to achieve that goal.
A bot is a software application that mimics human behavior and automates repetitive tasks over the Internet. They’re used to perform what would otherwise be cumbersome and time-consuming for humans. Unfortunately, many bad actors use this technology to attack many sites on the web, including online casinos.
Bots can make thousands of requests to a website and overload the online casino’s servers. This can cause websites to take too long to load or become unavailable to legitimate human users. Detecting bots as a way to shore up vulnerabilities, monitor incoming traffic and understand anomalous behavior is paramount as part of your iGaming operator’s cybersecurity strategy.
AI advances have made the detection of these malicious bots easier. Operators should turn to the advanced bot detection and protection solutions available, backed by analytics. AI is a solution that offers real-time detection by means of patterns with specific models.
Thanks to machine learning, AI can help security teams stay ahead of cybercriminals. On the other hand, machine learning and data mining can play an important part in developing a unique risk assessment or behavioral analysis of specific human or non-human users (bot traffic).
Some malicious bots can compromise the security of websites by spreading malware to users, which can lead to costly data breaches and privacy violations. AI prevents bots from capturing sensitive user information that is entered on websites and using it to commit crimes such as identity fraud and account takeover attacks.