Protecting the online gaming industry from increasingly complex attack patterns
Arkose Labs goes beyond traditional fraud detection to address abuse of virtual economies, bot-driven in-game cheating and bonus abuse. Going further than mitigation-focused strategies, it provides powerful remediation against bot and human-driven attacks without disrupting good users.
Real-time analysis, combined with targeted friction, causes automated scripts to fail, and saps the time and resources required to circumvent defenses at scale.
“The difference between Arkose Labs and our past solution is night and day for us. Previous defenses created a bad user experience, while Arkose Enforce solves our problem and makes it fun for our users”
$1M Card Testing Warranty
Read About Warranty Benefits$1M SMS Toll Fraud Warranty
Read About Warranty Benefits$1M Credential Stuffing Warranty
Read About Warranty BenefitsOptimized, Proactive Threat Detection
Real-world threat intelligence, optimized data sets, and real-time challenge feedback signals provide proactive defense.
Dynamic Challenge Capabilities
Arkose MatchKey challenges provide a unique user experience, performance improvements, and powerful styling features.
Actionable and Transparent Data
Arkose Bot Manager offers precise decision-making and improved risk mitigation.
Flexible Deployment and Integration
Customizable and granular rules, runbooks, and configuration options for industry- and company-specific use cases.
Guaranteed Service, Support, and Impact
24/7 SOC specialists provide immediate tuning, proactive monitoring, and real-time incident response.
Undermine the Economic Drivers Behind Gaming Fraud
Arkose Labs protects global gaming companies from evolving attacks and blocks all automated activity aimed at monetizing stolen data.
Arkose Labs Fraud and Abuse Prevention Platform analyzes data from user sessions to determine the context, behavior, and past reputation of every request. Traffic is classified and triaged based on its risk profile. Suspicious traffic is presented with enforcement challenges that differentiate between true users and fraudsters with certainty. A continuous feedback loop slashes false positives and minimizes the impact on good users.
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