CS:GO player's AI tool catches over 14,000 cheaters

To say cheaters plague CS:GO is an understatement, and though players can help Valve identify these cheaters using Overwatch, these cases take a lot of time. 

Understanding more needs to be done, UK teen 2eggs has developed a new AI tool that has been able to catch over 14,000 cheaters. The AI tool uses his account to review Overwatch cases. 

“The system reviews the footage, analyses the data, gives a verdict, and stores the user’s SteamID in a database, which is reviewed occasionally to check for game or VAC bans. If a ban is handed out, HestiaNet makes a note of it, adding information from that specific verdict to her network pool to increase her overall accuracy,” explained 2eggs in an interview. 

So far, HestiaNet has had a 98.19% success rate when comparing its reviews to actual bans, and best of all, it keeps evolving. Named after the Greek goddess of hearth and fire, the AI tool has gone through demos dating back to 2015 to help it learn from as many scenarios as possible. The number of CS:GO cheaters rose tremendously after the game went free-to-play in 2018, but with the efforts of tools like HestiaNet, their numbers could drastically reduce. 

2eggs is an experienced programmer that has created FACEIT and Minerva ban logs for FACEIT. Earlier this year, 2eggs also received $12,000 for helping Valve identify bugs and security risks on its platform.