Social Commerce

DataVisor helps the largest social networking properties and e-commerce platforms prevent fraud and abuse by detecting and stopping waves of attacks at their earliest signs. Unlike traditional solutions that look at individual accounts in isolation, DataVisor Unsupervised Machine Learning Engine analyzes all accounts and events simultaneously and identifies suspicious clusters of accounts and behaviors. This allows it to detect new, unknown fraud and abuse without training data or labels and often before attacks have been occurred.

Stop Fraud and Abuse with Unsupervised Machine Learning

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Mass Registration

Prevent attackers from creating armies of fake accounts, before they do any damage.


Account Takeover

Detect when good users’ accounts have been compromised before attackers can use them to commit fraud or abuse.

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Spam and Fake Reviews

Maintain trust in your platform by preventing malicious users from sending spam or creating fake reviews.

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Promotion Abuse

Stop bad actors from exploiting new user promotions, virtual currency arbitrage, out-of-policy virtual goods transfers and more.

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Fraudulent Transactions

Reduce e-commerce fraud 30-50% above traditional fraud solutions by catching entire crime rings days before they attempt a fraudulent transaction.

Learn How Customers Have Benefited from DataVisor Solutions

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“DataVisor’s user analytics are an important part of our spam detection system and helps prevent malicious accounts from interacting with real users and businesses.”

– Jim Blomo
Engineering Manager @ Yelp

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“DataVisor has provided a boost to both our spam coverage as well as our spam detection speed. On the coverage front, after DataVisor was integrated, we catch about 80% of our high risk spammers on the day they sign up.”

– Sriguru Chakravarthi
Protect & Integrity @ Pinterest

Learn More Our Use Cases in the Real World

Key Benefits for Social Commerce Companies

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90% of Fraud Detected Early

Catch fraudulent applications created with stolen or synthetic identity information in real time.
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50% Additional Coverage

Detect the earliest signs of account compromise to prevent damage and improve customer experience.

high accuracy and coverage to detect account takeover

99% Detection Accuracy

Predict and prevent fraudulent transactions by detecting suspicious crime rings early.

The DataVisor Platform

Unsupervised Machine Learning Engine

Predict new, unknown threats without labels or training data by analyzing hundreds of millions of accounts and events simultaneously using the industry’s most advanced unsupervised learning technology.

Supervised Machine Learning Engine

Use industry leading supervised machine learning algorithms to augment the unsupervised machine learning detection with client-provided labels.

Automated Rules Engine

Generate and deprecate rules automatically, lowering maintenance costs and improving results explainability.

Global Intelligence Network

Aggregate and analyze the industry’s broadest array of digital fingerprints and signals from billions of users across a variety of industries.

What’s Happening with Social Commerce

Product Announcement

DataVisor Introduces DCube

DCube is the complete AI-powered fraud management solution that puts control in the hands of fraud and data science teams to proactively defeat emerging fraud.

Read More »

Ready to enhance your detection with unsupervised machine learning?