Video games / Denuvo Anti-Cheat
Behavioral Anti-Cheat
Behavioral Anti-Cheat uses machine learning to analyze player input behavior in real time, identifying inhuman patterns and detecting advanced cheats that evade traditional anti-cheat detection.
As cheats evolve to mimic human behavior, traditional anti-cheat detection struggles to identify input-spoofing devices and AI-assisted cheats. Behavioral Anti-Cheat strengthens game security by analyzing real player inputs to distinguish human behavior from automation, restoring fairness in competitive and cross-play environments.
Benefits
Eliminate input spoofing
Detect hardware devices that falsify inputs and compromise competitive fairness
Guarantee enforcement integrity
Base sanctions on objective, statistically impossible input behavior
Defeat humanized cheats
Expose AI-driven cheats designed to imitate natural player behavior
Protect skilled players
Accurately distinguish elite human play from automated input
Strengthen layered defense
Extend existing anti-cheat systems with complementary behavioral detection
Stay ahead of cheats
Continuously adapt detection as cheat techniques evolve
Proven results
1M+
concurrent players supported
24/7
live gameplay analysis
<24h
typical server-side integration
100%
server-side detection
Certifications and recognition
Certified against
ISO/IEC 9001:2015 by EY CertifyPoint
Certificate No: 2020-016
Certified against
ISO/IEC 27001:2022 by EY CertifyPoint
Certificate No: 2020-017
Key features
Input-level analysis
Analyze raw mouse, keyboard and controller input to verify genuine human behavior
Statistical evidence engine
Identify non-human patterns using objective timing and precision metrics
Human baseline modeling
Build scientific baselines from real player input data
Server-side detection
Operate as a server-side behavioral filter alongside existing anti-cheat systems
Evidence-based sanctioning
Provide auditable, data-driven evidence to support confident enforcement decisions
Expert-led delivery
Backed by experienced specialists with fast turnaround and 24/7 emergency support
How it works
Behavioral Anti-Cheat analyzes raw player inputs server-side, comparing actions against learned human baselines to detect automation.
Specifications
- Supported platforms: PC and all major consoles.
- Operating systems: Windows 10 and Windows 11.
- Detection layer: Server-side behavioral analysis.
- Input sources: Mouse, keyboard and controller telemetry.
- Machine learning: Models trained on live player data.
- Scalability: Supports up to one million concurrent players.
- Integration time: Less than one day.
- Deployment options: Binary integration for PC, SDK for consoles optionally for PC.
- Binary compatibility: Protects any PE binary using rewriting technology.
- Proton support: Compatible with Proton and Steam Deck.
Behavioral anti-cheat detects cheating by analyzing player input behavior rather than memory or code.
No noticeable performance impact has been observed during testing and live gameplay.
Yes. It identifies inhuman input patterns generated by spoofing hardware.
No. It complements existing anti-cheat solutions as part of a layered defense.
Integration typically completes in less than one day.
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