DataVisor is the leading big data fraud detection solution utilizing unsupervised analytics to identify malicious account campaigns before they conduct any damage to banks, consumer-facing web sites and mobile apps. Our unique approach to big data fraud detection does not rely on prior knowledge of attack patterns – “training data” in data science speak.
The rapid expansion of consumer-facing online services has led to an explosion of user accounts, ushering in the “billion user era”. Well-organized attack campaigns are using this growth to their advantage, creating armies of fake and compromised accounts to hide in the shadows and conduct fraud against banks, web sites and mobile apps. It is challenging for trust and safety teams to stay ahead of these fraudsters since rules and models need constant maintenance and are always reacting after the damage has been done. Our approach to big data fraud detection gives you a leg up.
Our online fraud risk scoring uses email address metadata as a basis for transactional risk assessment and digital identity validation. With a clear picture of who is behind a transaction, you can expedite approvals, prevent chargebacks, automate workflows and optimize manual review.
DataVisor is ranked 29th in Fraud Detection and Prevention while Emailage Email Risk Score is ranked 28th in Fraud Detection and Prevention. DataVisor is rated 0.0, while Emailage Email Risk Score is rated 0.0. On the other hand, DataVisor is most compared with ThreatMetrix and Sift Digital Trust and Safety, whereas Emailage Email Risk Score is most compared with ThreatMetrix and Experian Crosscore.
See our list of best Fraud Detection and Prevention vendors.
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