American students at the University of New Mexico have been able to prove that neural networks are able to detect additional software for shooting CS: GO with an accuracy of 98%. Throughout the scientific work, a lot of tests were done using the Multilayer perceptron and Learning vector quantization neural networks. They worked together with demos of regular players and cheaters. A significant effect was shown by the mathematical model MLP, the error of which was only 2%.
At the well-known forum Reddit, in which this scientific work was published, a Valve employee was noted under the nickname vMcJohn. He noted that the developed anti-cheat VAC with artificial intelligence will work in the same way, that is, conduct an analysis of the player's behavior during the game. To release such an anti-cheat, you need an accuracy of 100%.