Call Of Duty: Black Ops 7 -- How Activision Is Trying To Stop Cheaters
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Call Of Duty: Black Ops 7 -- How Activision Is Trying To Stop Cheaters
""The developer said it has "evolved" its machine-learning-based anti-cheat measures with the aim of helping the system become "smarter, faster, and fairer." "Our aimbot-detection models are trained to decide whether a player's targeting was performed by a human or an aimbot. In Black Ops 7, these updated models will discriminate between natural aim and cheating with even greater precision by taking what they have learned from real gameplay to catch more cheaters than before," the developer explained.""
""Beyond aiming, Activison's Ricochet anti-cheat efforts include behavioral models that examine how people play to deduce if they are possibly cheating. "These upgraded models now analyze not just where a player aims, but how they move, how they engage, and how their play changes," Activision said. As an example, if a player is consistently getting kills on a map at places that aren't usually "hotspots," this can be flagged "for deeper analysis." "Our pattern recognition is trained on real matches, learning what genuine skill looks like--and recognizing when it's not," Activision said.""
Black Ops 7 on PC requires TPM 2.0 and Secure Boot as the foundational verification for Ricochet anti-cheat. Ricochet employs evolved machine-learning aimbot-detection models trained to distinguish human targeting from automated aimbots, improving precision by learning from real gameplay. Behavioral models analyze not only aim but how players move, engage, and change their play to identify suspicious patterns. Unusual kill locations and non-hotspot activity can be flagged for deeper analysis. Pattern recognition is trained on real matches to learn genuine skill and detect deviations. Beta-tested systems will be more effective at launch to help produce fairer matches.
Read at GameSpot
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