SL Fraud Prevention

Description

A fraud detection and prevention Solution. Unlock powerful insights with digital footprints generated from 500+ open sources, including social media, corporate sources, and the Dark Web, to counter payment fraud, fake account creation, and more.

Outsmart Fraudsters With Open Data

From email addresses and phone numbers, we construct assemble comprehensive digital footprints drawn from 500+ open sources in real time to identify suspicious patterns and provide protection against fraud.

Use Cases

• Fake Account Detection: Instantly separate real identities from fakes. Minimise friction for trusted users, and instantly flag up suspicious accounts to prevent risky actions.
• Payment Fraud Prevention: Stop payment fraud. The fraud prevention solution fortifies your payment processes and safeguards your business against lost revenue and damaged payment partner relations.
• Identity Verification: Boost the customer and business verification process. Analyze digital footprints in depth – uncover hidden information and suspicious connections to flag up fraudulent accounts.

Prevent Fake Account Creation

Detect false identities with the AI-powered platform. Unveil suspicious patterns on social media to authenticate user applications, and provide a secure, fraud-free experience for your customers.

Email Lookup

Build a comprehensive digital footprint around an email address, and identify newly created accounts. Real identities show comprehensive online activity – fraudsters usually create disposable emails without such history.

Phone Lookup

Identify invalid and disposable numbers, virtual SIMs, and burner phones. Find digital accounts connected to a phone number, and get comprehensive information about customers.

Individual And Company Profiling

Get a detailed picture of a subject using data retrieved from public and corporate sources, including contact details, photo, bio, job title, company, education, interests, location, and more. Accept legitimate users with real profiles – block junk leads and fraudsters.

Social Media Activity Analisys

Analyse every aspect of a subject’s social media activity, including profiles, posts, comments, tags, geolocations, and likes, to identify suspicious users. Fraudsters use artificial profiles with limited history and activity.

Social Graphs And Connection Analysis

Elaborate a comprehensive social graph and identify suspicious connections with ties to past fraudulent activities. Identities with suspicious connections are more likely to be part of a fraud network and have a higher risk score.

Data Leak And Darkweb Analysis

Check the leak status of a range of data, including phone numbers, email addresses, bank details, credentials, and more. Search darknet marketplaces and forums for aliases, account holder details, products, etc.

IP Address And Geo Tracking

The monitoring systems keep track of the IP addresses and geo data used when logging into an account. Any form of access from… triggers an immediate alert for further investigation.

Datasheets

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