Online Dating Platform Cuts Fake Account Fraud by 80% and Maintains 99% Consumer Throughput
A widely used online dating platform is known for its simple, intuitive consumer experience, making it a high-value target for bad actors creating fake accounts at scale to scam legitimate consumers.
80%
reduction in new account fraud
99%
genuine consumer throughput maintained
≈1K
detection signals monitored
THE CHALLENGES
Bad actors creating fake accounts at scale to send malicious links, solicit money, and run phishing schemes targeting genuine consumers.
Account takeover attacks using stolen credentials to hijack existing accounts.
Fraudulent activity was only identifiable downstream, leaving the platform without a strong proactive line of defense at registration and login.
Needed to stop attacks without adding friction or disrupting the quick, easy signup and login experience the platform was known for.
THE ARKOSE TITAN SOLUTION
Arkose Bot Manager was deployed at account registration and login to proactively identify and stop both automated and targeted attacks before bad actors could reach genuine consumers.
Device, network, location, and behavioral signals were analyzed across nearly 1K detection signals to assess risk and assign risk profiles to each session in real time.
Arkose MatchKey challenges were served to suspicious sessions, making fake account creation and account takeover attempts time-consuming and economically unviable.
Data signals passed back to the platform enabled the client to identify and shadow ban returning bad actors with high accuracy, reducing repeat abuse.
The Arkose Global Intelligence Network contributed cross-industry risk signals, strengthening detection beyond platform-specific data alone.
Deployed in partnership with AWS infrastructure to support high availability and performance at scale.
”
Using Arkose Labs data, we can identify and shadow ban malicious users to stop them from abusing our users, which makes the platform safer and increases trust.
— Product Manager
BUSINESS RESULTS
80% of bad actors caught before they could send messages to genuine consumers.
80% reduction in new account fraud following deployment.