Gaming Industry
The online gaming industry is seeing increasingly complex attack patterns
Arkose Labs improves upon traditional fraud detection to address abuse of virtual economies, bot-driven in-game cheating and bonus abuse. Going beyond the limitations of 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.
Fake Account
Registration Fraud
Detect bots and human sweatshops creating new malicious accounts that are used to ‘game’ the platform and players.
ATO and Reselling
Protect against fraudsters looking to hack into genuine accounts or carry out account reselling to offer cheap access to premium games.
Real Money
Trading
Protect against auction house abuse and bot-driven farming of in-game assets including gold and currencies.
In-Game Bot Abuse
Eliminate bogus gaming sessions, cheating services, win-loss trading and account level-ups from automated scripts.
Bonus Abuse
Launch promotions and new customer acquisition giveaways, with robust protection to stop abuse and fraud.
Fake Account
Registration Fraud
Detect bots and human sweatshops creating new malicious accounts that are used to ‘game’ the platform and players. Detect malicious users from the outset and prevent downstream banning.
Account Takeover
Use stolen credentials to hack into genuine accounts to empty them of the digital currencies and valuable points to sell on third party sites and the black market.
Real Money Trading
Protect against auction house abuse and bot-driven farming of in-game assets including gold and currencies.
Payment Fraud Attacks
Use stolen credentials to purchase gaming products.
Bonus Abuse
Launch promotions and new customer acquisition giveaways, with robust protection to stop abuse and fraud.
Protection
Safeguard Gaming
Platforms with
Multi-Tiered
Protection
Arkose Labs protects global gaming companies from evolving attacks and blocks all automated activity aimed at monetizing stolen data.
A unified approach combines risk decisioning with adaptive enforcement challenges to accurately distinguish fraudsters from genuine users and incrementally depletes the returns from the fraud attacks. This provides a long-term strategy for stamping out fraud and abuse on gaming platforms.
Read the Retail Solution Brief
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Solution
Our Solution for Online Gaming
End-To-End Decisioning
And Authentication Platform
Enables gaming companies to accurately detect fraud and abuse in all its forms.
Attacker
Classification
In-depth insights into fraudulent activity and assigns appropriate risk profiles.
Blocks All
Non-Human Activity
Stamp out all automated attacks with no negative impact to real users’ customer experience.
Intelligent
Step-Up
Targeted challenges which drain fraudsters’ time and resources to undermine their ability to attack at scale.
Risk Profiling Across
The Customer Journey
Risk analysis across all customer touchpoints detects all indicators of future fraud attacks.
Advantage
The Arkose Labs
Advantage
With the gaming industry being used by fraudsters to test out emerging attack techniques, Arkose Labs enables businesses to spot signs of fraud earlier and use targeted friction to stamp out abuse.
100% SLA
Guarantee
The only fraud prevention company with a guarantee on its primary function: preventing all automated fraud and abuse.
Shifts The
Attack Surface
Moves the attack surface away from the gaming platform, onto Arkose Labs’ own intermediary platform, for independent verification.
Dynamic
Defenses
Fraud prevention that adapts to the evolving attacks patterns and understands the unique tactics targeting the gaming industry.
Brand-integrated
Challenges
Bespoke enforcement challenges fit seamlessly into gaming platforms for minimal disruption to users.
Breaks Down The
Attack Economics
With Arkose Labs, attackers are unable to bypass the authentication challenges at scale and end up wasting resources in their attempts. This undermines the potential ROI and compels them to abandon attacks.
Self-Optimizing Platform
Insights from enforcement challenges are used to train the risk decision engine for improved future predictions.
