Embark Studios has published a deep dive into its anti-cheat systems for Arc Raiders, combining Easy Anti-Cheat with machine-learning models trained on player telemetry. The update covers ongoing improvements, including a new kernel-level solution and intent-based detection for accessibility devices. This ensures fair play across Speranza while supporting legitimate players.
Anti-Cheat Technology Stack
Embark's anti-cheat combines kernel-level protection from Easy Anti-Cheat with machine-learning models trained on player telemetry. Additional undisclosed layers enhance detection.
Key Components
- Kernel-level detection targets commercial cheats operating in that space
- New kernel-level solution in testing to improve detection and precision
- Input telemetry analysis via ML models, developed with Anybrain
Accessibility Devices and Intent Detection
Distinguishing legitimate accessibility use from cheating relies on analyzing telemetry and communication patterns to detect intent.
“The signal we care about is intent. Our systems analyze telemetry and communication patterns to distinguish legitimate accessibility use from abuse.”
Ban Appeals Process
Every ban appeal receives human review, with the process continually refined based on incoming cases.
Appeal Details
- Not automated; treated as permanent investment
- Pre-written responses maintain consistency while investigating each case
- Focuses on ensuring fair gameplay and refining detection systems
Source
Steam — Arc RaidersView Original Article
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