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Fraudsters pose a serious threat to the safety and reputation of legitimate businesses. Attackers simulate legitimate user activity by uploading content scraped from other sites, and go virtually undetected by rules engines and human reviewers. Cybercriminals also employ a range of techniques to bypass CAPTCHAs and create realistic reviews and spam. The DataVisor approach meets these threats with a massively scaleable detection engine that correlates behavior across accounts, instead of merely viewing accounts in isolation. With industry-leading technology, DataVisor’s solutions can stop fraudulent attacks that originate from new account registrations, and incapacitate incubating accounts before they ever cause damage.
Online marketplaces with product listings and customer reviews require moderation to maintain integrity.
Social messaging platforms require 24/7 vigilance to filter out spam and inappropriate content.
Enterprise companies need scalable technology to detect and eliminate malicious user-generated content, before irreversible damage occurs.
Detect fake listings and reviews the moment they’re posted. Safeguard your brand, control your content, and deliver great customer experiences.
Identify and remove spammers within two days of sign-up. Spot spam content with the fastest detection rate in the industry. Protect your brand image and user experience from being compromised by corrupt or irrelevant outgoing spam links.
Weed out bad users and promote positive customer experiences. Reward loyal customers, users, fans, and followers who enjoy a frictionless experience.
Learn how Yelp stops fake users with DataVisor’s fraud solutions, and connects real users with great businesses.
Implementing DataVisor’s fraud solution resulted in: 99% of all spammers being caught80% of all spammers being blocked at signup7x increase in overall detection rates…
5 stories. 5 victories against fraud. See how organizations across industries are proactively defeating attacks.
Intelligent solutions. Informed decisions. Unrivaled results.
Discover how your organization can benefit from BBVA’s unconventionally successful approach to fraud management.
Access proprietary data and research results to discover the latest attack techniques and prevention strategies.
Rules engines, machine learning models, ID verification, or reputation lookups (e.g. email, IP blacklists and whitelists) and unsupervised analytics? I’ve often been asked which one to use and should you only go with one over the…
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