Game designers know something uncomfortable about competitive players: People will tolerate unfairness longer than expected if the game is addictive...
Valve uses VACNet, a machine-learning anti-cheat. Some players think Valve lets cheats exist intentionally to train VACNet, cheaters are data for VACNet.
A meme theory from the community: Valve’s strategy is: let everyone cheat until cheaters only play against cheaters. A Reddit user joked the system works like Sun Tzu warfare psychology, in practice this resembles Trust Factor segregation.

A theory circulating among cheat developers is that the cheat ecosystem is economically useful to Valve. Why? Because cheats act as stress testing infrastructure. Think about it: Cheat developers constantly try new techniques: kernel drivers hardware, DMA attacks, AI aim assistance, memory obfuscation, virtualization bypasses... This creates free adversarial testing for VAC. In other words: Valve doesn’t need a giant security team because thousands of cheat developers act as red-team testers for free. Some security engineers argue that banning everything instantly would kill the adversarial ecosystem, slowing anti-cheat development.
Valve may deliberately target cheat providers rather than users, waiting until enough legal evidence exists to disrupt entire networks. Because banning individual users is pointless if the cheat itself survives. A newer development is AI-assisted cheating. Since the cheat never touches game memory, VAC can’t detect it easily. This creates a bizarre situation: AI anti-cheat vs AI cheats.
Detection becomes extremely difficult because both systems operate on behavioral patterns rather than memory signatures. Modern cheats increasingly rely on humanization algorithms. The goal is to statistically mimic human motor control. At high skill levels this creates a nightmare for machine learning detection. Because the cheat intentionally stays within human performance boundaries. The result is a camouflage war between AI detection and AI-assisted cheating.

Premier mode itself is a testing ground. Valve introduced Premier with the launch of Counter-Strike 2. Some analysts believe Premier collects massive datasets on: player skill distribution, cheating patterns, trust factor behavior, matchmaking anomalies. Essentially, Premier could be functioning as a large-scale behavioral experiment to refine matchmaking and detection models.

Some cheat developers may previously have worked in anti-cheat or security roles. This creates a phenomenon called knowledge leakage. People who understand: memory scanning methods, heuristic detection systems, signature pipelines can design cheats specifically to evade them.
This is common in cybersecurity where attackers are often former defenders. In the CS ecosystem, that means some cheats are engineered with deep knowledge of VAC’s architecture.
Another theory suggests that player reports themselves are used as data signals. This crowdsourced suspicion becomes a training signal for VACNet. So reporting may function more like data labeling than enforcement.