Content Moderation and Filtering

Safeguard platform quality and reputation by removing and preventing spam, and ensuring the validity of published content using advanced pattern analysis to correlate user behavior.

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Defense for High-Growth Companies


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.

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Marketplaces

Online marketplaces with product listings and customer reviews require moderation to maintain integrity.

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Social Platforms

Social messaging platforms require 24/7 vigilance to filter out spam and inappropriate content.

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User-Generated Content

Enterprise companies need scalable technology to detect and eliminate malicious user-generated content, before irreversible damage occurs.

Real Solutions in Real Time


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Immediate Action

Detect fake listings and reviews the moment they’re posted. Safeguard your brand, control your content, and deliver great customer experiences.

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Expose the Source

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.

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Retain Loyal Customers

Weed out bad users and promote positive customer experiences. Reward loyal customers, users, fans, and followers who enjoy a frictionless experience.

Client Success Stories

Learn how Yelp Stops Fake Accounts with DataVisor

Learn how Yelp stops fake users with DataVisor’s fraud solutions, and connects real users with great businesses.

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Spam & Abuse at Momo

DataVisor has partnered with Momo for more than two years to help them take on fraudulent account creations and compromised accounts.

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Fighting Fraud with Machine Learning: Stories from the Frontline

5 stories. 5 victories against fraud. See how organizations across industries are proactively defeating attacks.

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Resources

Intelligent solutions. Informed decisions. Unrivaled results.

Inverting The Fraud Approach: Fraudsters Can Check In, But Never Leave

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Discover how your organization can benefit from BBVA’s unconventionally successful approach to fraud management.

Discover how your organization can benefit from BBVA’s unconventionally successful approach to fraud management.

DataVisor Fraud Index Report: Q1 2019

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Access proprietary data and research results to discover the latest attack techniques and prevention strategies.

Download the Q1 2019 Fraud Index Report from DataVisor to receive unparalleled data-driven insights into the latest attack trends, and the most effective prevention strategies, based on analysis of over 44 billion events, 800 million users, 396 million IP addresses, and more.

Unsupervised Analytics: Moving Beyond Rules Engines and Learning Models

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Rules engines, machine learning models, ID verification, or reputation lookups (e.g. email, IP blacklists and…

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 others. There is a place for each to provide value and…


Stay scam and spam-free.

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