Arkose Labs helps stop fraud and abuse through fake account registrations.
Arkose Labs detected a 70% rise in bot-driven attacks attempting new account registrations over just one quarter in 2019. Companies need a more robust way to detect fake account creations which are used to test stolen credentials, abuse new customer promotions and apply for new lines of credit. Arkose Labs leverages the insights gained from its global risk engine, Arkose Detect, to accurately understand the underlying intent and assign risk scores, using in-depth digital intelligence about the user.
Arkose Enforce then delivers adaptive step-up for suspicious users, instantly deflecting automated large-scale attacks. While genuine users can clear the challenges quickly, fraudsters must invest lots of time and resources to clear the challenges at scale. This makes the attack economically less attractive, forcing fraudsters to give up.
The Arkose Labs system is so effective against automated account registration attacks that it is backed by a commercial guarantee. Bot attacks will be identified and remediated against within a set timeframe, giving organizations true peace of mind.
The Arkose Labs Fraud and Abuse Defense Platform provides the most effective protection against large-scale fake account registrations. Advanced risk profiling identifies sessions showing signs of malicious activity and informs any step-up authentication requirements. Targeted enforcement challenges block automated and fraud farm-driven attacks and prevent fraudsters from attacking at scale.
Identify New Account Fraud
Combine sophisticated risk decisioning with intelligence step- up challenges
Detect Bulk Account Creation Attacks
Long-term protection that prevents fraudsters from scaling up attacks
Stop Single Request Attacks
Stamp out scripted attacks, trained bots and fraud farm activity
100% SLA Guarantee
The only solution to provide a guarantee on stopping automated account takeover attacks
Defend against mass-scale spam and phishing attempts on your websites and apps.Learn More