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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

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Certified against
ISO/IEC 9001:2015 by EY CertifyPoint
Certificate No: 2020-016

irdeto-video-games-ey-certificate

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.
Frequently Asked Questions
What is behavioral anti-cheat?

Behavioral anti-cheat detects cheating by analyzing player input behavior rather than memory or code.

Does this solution affect performance?

No noticeable performance impact has been observed during testing and live gameplay.

Can it detect input spoofing devices?

Yes. It identifies inhuman input patterns generated by spoofing hardware.

Does it replace kernel anti-cheat?

No. It complements existing anti-cheat solutions as part of a layered defense.

How quickly can it be integrated?

Integration typically completes in less than one day.