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Combat the increasing prevalence of bot-powered mass registration attacks by deploying a powerful combination of advanced algorithms, big data analytics, and real-time detection capabilities. Analyze user histories, behavior changes, and suspicious patterns across millions of accounts. Accurately and consistently distinguish between legitimate and fraudulent registrations, and capture attacks from both recently registered and incubating accounts.
Accurately identify simulated user activity and purge illegitimate accounts.
Distinguish authentic accounts from fraudulent ones to protect good customers.
Reveal fabricated devices and locations to deter coordinated fraud attacks.
Detect malicious intent at the point of registration, and prevent downstream damage.
Analyze hidden connections between accounts to detect more attacks while lowering false positives.
Uncover new and evolving attack patterns with no need for training data or labels.
Performance highlights for clients include: 99% of all spammers caught10k+ fake reviews prevented per day99.5% detection accuracy…
DataVisor helped protect a large, mobile P2P Marketplace from fraud and abuse using Unsupervised Machine Learning.
Learn how our client was able to: Block nearly 90% of malicious accounts before a first attack.Improve detection accuracy by 20%+ over existing solutions.Boost efficiency with auto-action on over 65% of detected accounts.
Intelligent solutions. Informed decisions. Unrivaled results.
Protect your marketplace from spam, fake reviews, and more, with comprehensive AI-powered fraud solutions.
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