Exploring the tech and business behind anti-cheat systems in online gaming.

This article is inspired by a discussion with Anh-Vu Nguyen of Anybrain.gg, a company at the forefront of anti-cheat technology in gaming. Cheating in online games has become more than just an annoyance — it’s a multi-million-dollar industry. What’s even more alarming is how sophisticated these cheats have become. Some systems now use computer vision to simulate real player behavior, making them virtually indistinguishable from legitimate gamers. So how do we fight something that can perfectly mimic human behavior?

The AI That Fights Cheaters: Two Approaches

Anti-cheat technology primarily falls into two categories. The first is similar to antivirus software: it monitors installed programs on a player’s system to detect anything suspicious, like unauthorized scripts or external modifications. These systems are constantly updated to keep up with new cheat technologies, much like an antivirus scans for new malware.

The second approach, used by solutions like Anybrain.gg, focuses on behavior patterns. These AI-driven systems analyze how players interact with the game, tracking everything from movement speed to reaction times. The AI compares this data to known patterns of human behavior, looking for anomalies that could indicate the presence of a bot or cheat software. Over time, the machine learning model “learns” the typical behaviors of legitimate players, allowing it to better spot outliers.

The Industrialization of Cheating

The days of small-time hackers creating cheats for fun are long gone. Today, the cheating industry is highly professionalized, generating millions of dollars in revenue. These cheat developers run legitimate-looking businesses, complete with customer support and subscription-based models.

The tools they create are getting smarter too. Some cheats, like those based on computer vision, use AI to “see” the game screen and react in real time, outperforming human players in accuracy and reaction speed. This level of sophistication poses a significant challenge for developers who rely on AI systems to detect cheaters.

The industry has also made it easier for non-technical users to cheat. With plug-and-play solutions, almost anyone can gain an unfair advantage in online games. As a result, cheating has evolved into a business, with both players and developers profiting — often at the expense of the gaming experience.

Types of Cheating: From Aimbots to Boosting

When people think of cheating in video games, they usually think of aimbots or wallhacks. But the reality is far more complex. Cheating today includes:

Computer Vision Bots: These cheats use visual recognition algorithms to detect in-game objects or enemy players, reacting with inhuman speed and precision.
Boosting: Players pay skilled gamers to play on their accounts, artificially boosting their rank or acquiring rare items. This disrupts matchmaking systems and creates imbalances.
Input Manipulation Devices: In sports games or shooters, external hardware can be used to manipulate input for an advantage, such as by reducing recoil or improving aim accuracy.
Resource Farming Bots: Common in MMORPGs, these bots automate the collection of resources, disrupting in-game economies and affecting the overall balance.

The Ongoing Fight: Can We Ever Win?

AI has become a critical tool in the fight against cheating, but the battle is far from over. The relationship between cheaters and developers is a constant arms race. Every time an AI system catches a new cheat, cheat developers update their tools to avoid detection.

As mentioned earlier, the situation is complicated by the fact that many cheaters are also whales — players who spend large amounts of money on in-game purchases. These high-spending players often invest in cheats to maintain their competitive edge. Game developers, who rely on whales for significant portions of their revenue, must balance the need to create a fair environment with the financial risk of banning these players.

The Hidden Impact of Anti-Cheat Systems

As discussed above, implementing anti-cheat systems presents a challenge: while they help clean up the player base and improve retention among fair players, they can also alienate whales who contribute significantly to the game’s revenue. The question then becomes: how much does cheating really impact player retention?

It’s difficult to quantify. While hardcore players may notice and complain about cheating, casual players may be unaware of it. For developers, this means that the ROI of anti-cheat measures isn’t always clear. Do they invest in sophisticated AI systems to protect fair play, or do they allow a certain level of cheating to keep their whales happy?

It’s a balancing act, and the answer depends on each game’s player base and long-term strategy.

Freemium Solutions: Democratizing Anti-Cheat Tech

In recent years, freemium anti-cheat solutions have made it easier for small and mid-sized studios to protect their games. Platforms like Anybrain.gg offer AI-based cheat detection for free up to a certain player count, with the option to upgrade as the game grows.

This approach is a game-changer for indie developers who may not have the resources to develop in-house solutions. By using these accessible tools, smaller studios can focus on creating great games without worrying that cheaters will ruin the experience.

Conclusion: Beyond Cheating — The Future of AI in Gaming

The implementation of AI in games to combat cheating is a critical step toward ensuring fair competition and protecting player experience. But as AI continues to evolve, the industry will need to address more fundamental issues, such as ownership of AI-generated content and the ethical use of machine learning. This isn’t just about stopping cheaters; it’s about ensuring that as gaming moves forward, it remains a space of creativity and fairness for everyone.