eBook
Identity fraud prevention: how to spot, stop and outpace modern fraud
Protect the customers and revenue that depend on you before the cost hits
eBook
Protect the customers and revenue that depend on you before the cost hits
From synthetic identities to biometric spoofing and coordinated attacks, and why they're increasingly difficult to catch with isolated checks.
Across onboarding, account recovery, ongoing activity, post-onboarding moments and the business cost of each gap.
How one-time checks, static rules and disconnected signals create the exploitable gaps that put revenue and customer trust at risk.
How document authentication, biometrics and connected identity intelligence work together to improve accuracy, reduce losses and protect conversion.
of US account logins suspected of digital fraud
TransUnion, 2025
AI-related cybercrime complaints reported in 2025
FBI IC3, 2025 Internet Crime Report
Reported losses from AI-related cybercrime complaints
FBI IC3, 2025 Internet Crime Report
Identity fraud is becoming harder to detect because it no longer always looks like fraud.
As fraud becomes more coordinated, adaptive and AI-enabled, businesses face a compounding threat: fraud losses, operational drag, damaged customer trust and abandoned revenue. The organizations best placed to respond are those rethinking how they decide which identities, documents and biometric interactions can be trusted.
The challenge is no longer just spotting obvious red flags. It is recognizing when something that appears legitimate should be questioned before the cost hits.
That is why knowing your fraudster matters.
Modern identity fraud does not follow one pattern. Fraudsters use different routes into the business, different signals to appear trusted and different moments in the customer journey to exploit, targeting the gaps between disconnected systems, not just the front door.
In the guide, you’ll meet four modern fraudster profiles:
Creates identities designed to appear credible and bypass standard checks.
Mimics legitimate people and trusted signals to pass simple verification.
Operates inside accounts that have already been trusted, making detection harder and losses larger.
Scales coordinated attacks across journeys, markets and systems, exploiting every disconnected, unprotected gap.
Download your guide and start building a stronger, more connected approach to identity fraud prevention.