Get perspective on your transaction
Social Media Intelligence
![Verify logo](png/fraudnetverify-left-uai-258x55.png)
The Solution
Social media offers unprecedented levels of connectedness and can also increase certainty and consistency when confirming the authenticity of a transaction.
Today, social media sites offer unprecedented levels of connectedness for groups of people with common interests across the world. They also offer obvious benefits to anti-fraud programs. A social media component can ensure extra layers of certainty and consistency when confirming the authenticity of a transaction.
Social Media Tracking
1,200+
3,000,000+
deep learning models.
$14.7 Trillion
by AI’s early adopters. Don’t lose out.
Benefits
Real-Time Protection
Flexible and modular verification is necessary to enable merchants to confirm a user’s identity, order details, and purchasing methods.
Frictionless Commerce
Advanced technology enables organizations to test ‘intelligent’ commerce’ by thrilling customers with even greater convenience and speed.
Anomaly Detection
A big part of building a threat intelligence program is identifying anomalies quickly, with certainty, and auto-triggering counter-measures.
Social Media Insights
Sophisticated fraudsters also increasingly use publicly-available information scraped from social media sites to facilitate account takeovers and are growing millions of synthetic social profiles to help launch fraud attacks in the coming years.
Fraud.net can include social media profiles to help merchants make more informed decisions about suspicious transactions while also identifying those profiles that are highly likely to be synthetic or compromised.
![friend wheel visual](png/twitershpere_image-uai-258x257.png)
![Group of people busy working](jpg/shutterstock_412299217-uai-258x168.jpg)
Make Better Decisions
Professional fraud rings have long been attacking merchants, shipping high-value goods to vacant homes, changing neighborhoods and IPs to circumvent existing detection efforts.
Professionals and opportunists can both be quickly exposed using machine learning, collective intelligence and ‘linked-entity’ analyses, all available in Fraud.net’s real-time enterprise detection and analytics platform.