First-party fraud results in +$100bn in losses per year. Fraudsters operate by sharing information and strategies to execute fraud, meanwhile financial institutions and merchants operate in silos, reluctant or unable to share data with each other. It’s time to close the consumer visibility gap that is preventing us from stopping fraud.
Generational behaviour is shifting
42% of Gen Z consumers admit to intentionally engaging in friendly fraud, alongside 22% Millennials.
Fraud regulation is increasing
Merchants, PSPs and acquirers that fail to implement and maintain adequate fraud prevention procedures now face liability under new FCA guidelines.
Consumer visibility is limited
Fraud prevention is based on limited transactional snapshots of consumers, and not 360° view of consumer activity across the commerce ecosystem.
Identify known friendly fraudsters immediately and proactively uncover new scammers through continuous consumer behaviour analysis. Leveraging the network effect ensures fraudsters can’t repeat offences across the ecosystem, keeping every business safe.
Reduce your friendly and APP fraud losses
Differentiate and identify friendly fraudsters from trusted consumers at onboarding, pre-auth and during the claims/dispute process.
Accept more payments from trusted consumers
Optimise payments and fraud risk rules by integrating personalised consumer fraud risk intelligence to boost acceptance rates and revenue.
Automate your dispute resolution process with AI
Support more automated (and agentic) decisioning to improve efficiency by up to 70%, and reduce false positives.
Our Trust Network provides easy to integrate APIs which can effortlessly slot into your payments and fraud stack. We will support you with expert onboarding so you can go live fast and unlock value from day one.
1
Prepare
A dedicated delivery lead will guide you in structuring, normalising, and preparing your datasets, while working with you to define success metrics that effectively measure impact.
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2
Setup
Our technical team will integrate your node into the network, onboard your data and configure your project environment.
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3
Test & Analyse
We’ll run technical tests to validate data flow and system integrity. Next, we will run our network algorithms on the data, uncover early insights and calculate key initial metrics like accuracy and performance.
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4
Evaluate
We will evaluate accuracy and performance metrics to validate the solution’s effectiveness and share actionable insights with you. We will also run hands-on training to onboard your teams.
5
Run & Optimise
All projects go live with full support from your Key Account Manager, who will collaborate with you to monitor model performance, fine-tune algorithms, and continually enhance results.
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Latest case study
85%
Precision rate in
identifying fraudsters
99%
Reduction in refund processing time
23x
Projected ROI
Talk with our team of fraud and identity experts and learn how Trudenty
can help you protect your business.
Launch in days, not weeks.
Learn from the network while protecting your competitive advantage.