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Behind The Fingerprint [June Edition]
Fingerprint
Identify visitors you can trust. And those you can’t. The highest accuracy device identification for mobile and web.
From bots to bonus abuse, this month we’re tackling new account fraud.
Fraudsters love a clean slate. A shiny new account means another shot at draining promo budgets, skimming free trials, or sneaking past prior bans. And with the help of bots, emulators, and throwaway emails, they can do it at scale, creating hundreds of seemingly brand-new accounts.
But behind all those "new" logins, the same devices keep showing up. And companies are catching on, with Meta purging fake accounts and Reddit tightening bot detection. This month, we’re spotlighting new account fraud: why it’s become a key vector for fraudsters, and how Fingerprint links even the most “anonymous” accounts back to devices. Because a clean slate shouldn’t mean a clean getaway.
How to fight back against new account fraud
If one in seven new accounts is fraudulent, how many fake users are hiding in your growth metrics? This guide unpacks the full spectrum of new account fraud, from multi-accounting and promo abuse, to synthetic IDs and bot automation, along with the strategies leading teams are using to stop it.
How banks & fintechs can prevent new account fraud
As fraud defenses improve at the login stage, fraudsters are shifting left and targeting account creation instead. One trading platform lost $2M to fake sign-ups exploiting a $5,000 loan promo. To stay ahead, leading fintechs are turning to device intelligence to spot the signals.
How the hidden DNA of computers can help fight fraud
For just $150 a month, fraudsters can buy AI-powered toolkits that automate credential stuffing and new account creation across 140+ services. Device intelligence gives defenders a new edge by spotting patterns hidden beneath the surface.
Improve your ID verification during registration
New account registration is often your first and best chance to stop fraudsters from entering your platform. To confidently distinguish real customers and bad actors, leading companies are enhancing traditional ID checks with signals like automation detection, location mismatches, and duplicate device activity.
A growing fraud threat: Residential proxies
Residential proxies help fraudsters blend in with legitimate traffic and bypass traditional IP defenses. This blog breaks down how they work, why they’re difficult to detect, and how you can surface risky proxy usage, without adding friction for real users.
Heading to Fraud Leaders Summit USA?
Join us June 24 in Miami, where we’ll be connecting with fraud and risk leaders to share how Fingerprint helps businesses detect threats earlier in the user journey. Want to meet 1:1? Reach out to schedule time with our team on-site.
Ready to move beyond outdated fraud prevention tools? See how device intelligence brings clarity to risk. Explore the platform →
Business Analyst | Data Analyst | 5+ Yrs in SQL • Excel • Power BI | Insights that Drive Revenue, Ops, and Retention | Portfolio in Bio
2moSuch an important reminder that fake accounts don’t just impact user quality ,they can distort key growth metrics and drain resources across teams. Love seeing how companies are shifting focus to the account creation stage and using smarter signals to stop fraud early. Excited to dig into this month’s edition!