Embark Studios expands ARC Raiders anti-cheat with kernel-level detection and machine-learning telemetry models

Embark Studios said on May 7, 2026 it has upgraded anti-cheat protections for ARC Raiders, combining kernel-level detection with machine-learning (ML) models trained on player telemetry to support fair play.

Kernel-level detection Embark said its anti-cheat stack uses kernel-level protection from Easy Anti-Cheat, arguing it is necessary because many commercial cheats operate at the system level. The studio added that it is testing an additional kernel-level solution that it expects will improve detection and precision across in-game areas including Speranza and the Rust Belt.

Machine-learning models On the ML side, Embark said it has trained and deployed models that analyze input telemetry to flag suspicious patterns. The company said it has been working with Anybrain on this research since the start.

Accessibility and intent Embark said a key challenge is distinguishing between legitimate use of accessibility devices and abuse for cheating. The studio said its systems analyze telemetry and communication patterns to assess user intent, aiming to allow players who rely on accessibility equipment to continue playing while limiting misuse.

Ban appeals Embark said every ban appeal is reviewed manually by a member of its team rather than being handled through an automated process. The studio said it uses appeals to help test and refine its detection systems and models over time.