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Plug real-time digital identity and behavioral risk signals into your internal fraud models to keep your customers and your business protected.
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Digital transformation elevates the risk of fraud for every business and consumer. As your business gets smarter and faster – so do fraudsters. Minimize your risk of fraud with access to the world’s largest digital identity and fraud prevention datasets. Telesign harnesses billions of digital interactions and traffic patterns to assess the risk of every interaction.
Rely on 15+ years of historical data patterns and supporting analytics that continuously train our dedicated ML models.
Enhance your internal fraud models with comprehensive insights and a single API.
Create a custom scoring model that’s calibrated to your specific fraudulent patterns that learns and adapts over time.
Eliminate IRSF fraud by analyzing phone number behavior using machine learning to evaluate global traffic patterns and phone data attributes from the world’s largest fraud database.
Fraudulent transactions cause revenue, inventory, investment, and reputation loss. Keep your business and customers safe by challenging suspicious purchases and high-value transactions to ensure they're legitimate.
From login to logout, adopt a proactive, multilayered approach to detect suspicious behavior such as SIM swaps, porting history, and password resets to unlock proactive fraud prevention signals and protect your customer accounts.
ATO attacks blocked in 2021.
of the largest web proprieties contribute to data consortium.
fraudulent communications are blocked monthly.
From new registrations, to removing fake accounts, you can reduce friction and take loyalty to the next level.
From ride share, to food delivery, you can validate users for a seamless experience.
Grow your user base and protect your platform fake users and phishing attempts.
Know who your customer is, verify legitimate account holders and provide a hassle- free service experience.
Working from home is now the norm. Make sure you can authenticate remote employees.
