Payment Services Provider Defeats Card Testing Attack and Reduces Fraud by 78%

Fraud.net streamlines merchant risk monitoring by plugging directly into TSYS data, enabling real-time policy checks, faster boarding, and sharper portfolio-level insights.

A leading global OTA combines device, behavioral, and consortium data to spot coordinated fraud rings, cut chargebacks, and protect high-value travel bookings.

Pacific Dental streamlines vendor onboarding and verification, instantly flags high-risk suppliers, and strengthens compliance across its rapidly growing practice network.

Fraud.net centralizes fraud data from dozens of channels for a top 5 travel agency, reducing chargebacks and fraud while keeping conversion high for flights, hotels, and add-ons.

Automate more decisions, reduce false positives and simplify rules management with a hosted Rules-as-a-Service layer that’s tuned by fraud experts.

A major retailer reduces chargebacks, protects authorization rates, and tightens dispute evidence with end-to-end transaction intelligence.

A top-tier bank migrates fraud operations to a cloud-native platform, improving detection accuracy, scalability, and time-to-value without disrupting existing workflows.

A high-growth online travel agency approves more good bookings, reduces chargebacks, and protects margins by unifying fraud checks across cards, wallets, and alternative payment methods.

Fraud.net reduces false positives, keeps good customers approved, and frees analysts from reviewing low-risk transactions for a global payment processor.

A global lender strengthens its underwriting by scoring applications in real-time, uncovering synthetic identities and repeat fraud rings before loans are funded.

Payments investigators prioritize the riskiest cases first, reduce manual review time, and close investigations faster with machine-learning models tuned to their unique portfolio.

Risk teams at Arvato gain proactive visibility into emerging fraud patterns, cutting risky transactions and preventing abuse before it impacts loss rates or customer experience.

AI and machine learning streamline KYC and transaction reviews, so customers can onboard and transact in seconds, while dynamic fraud controls block high-risk activity in the background.

Fraud.net reduces account takeovers and first-payment defaults by combining device, behavioral, and consortium data in a real-time decisioning engine.

The AWS cloud accelerates Fraud.net’s ability to train and deploy machine learning models, improving performance, uptime, and fraud detection accuracy for financial institutions worldwide.

Arvato (Afterpay) boosts fraud agility and coverage with a unified, rules-driven platform that keeps pace with emerging attack patterns across global markets.