CS: GO players build AI system to catch more than 14,000 game cheats

CS:GO players can help Valve identify cheaters. Each player who has won more than 100 contests and played at least 350 hours can view and make a ruling on the reported cheater game. But there are too many cheaters, especially after CS:GO became a free game in 2018.

Now, CS:GO players and hackers 2eggs have created an AI system called HestiaNet that can identify cheaters faster and has identified more than 14,000 cheaters. Although 2eggs is still young, he is an experienced programmer. He created the FACEIT ban log and the Minerva ban log for face-to-third-party pairing platform FACEIT. Earlier this year, 2eggs was awarded a $12,000 reward for helping Valve identify errors and security risks on its platform.

2eggs is the only person working on HestiaNet, while AI uses its account to spot cheaters. HestiaNet’s AI system reviews the footage of reported cheaters, analyzes the data and makes a ruling. AI stores the SteamIds of suspected cheaters in a database, which is sometimes reviewed to find out if they have been blocked by Valve.

If Valve seals the cheater, HestiaNet will record it to improve overall accuracy. So far, HestiaNet has actively reviewed 14,782 cases, of which 14,515 cheaters have been blocked.

CS: GO players build AI system to catch more than 14,000 game cheats

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