FRAUD PREVENTION

Payment Fraud Prevention

Protect revenue across every payment rail

Approve more legitimate transactions while keeping your fraud rates low across cards, ACH, instant payments, and wallets.

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Smarter fraud controls for merchants

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Higher approval rate
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Decrease in manual reviews
Approve more good payments

Increase authorization and SCA pass-through by routing low-risk payments through low-friction paths.

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Stop fraud before losses occur

Predict chargebacks, unauthorized payments, and returns before authorization or settlement.

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Lower fraud operations costs

Reduce manual workload and keep fraud costs predictable with automated reviews, disputes, and evidence collection.

Authorized

Accurate risk scoring across all payment methods

Stop card fraud before authorization, not after disputes

  • Analyze checkout behavior, device risk, and cardholder signals
  • Approve more transactions with low-friction routing for low-risk payments
  • Automate dispute evidence collection to improve chargeback win rates
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Go beyond transaction-level data with device, behavior, and network intelligence

Ecommerce Fraud

Card-not-present transactions

Stop card fraud so you can accept legitimate payments at checkout now and ship goods later.

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Generate pre-authorization risk scores

Analyze checkout behavior, device risk, shipping address signals, and cardholder verification to detect fraud earlier.

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Create, modify, and backtest rules

Build no-code workflows that approve, step up, decline, or route to a chargeback guarantee solution based on risk thresholds.

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Improve chargeback win rates

AI agent reviews disputes, pulls compelling evidence and submits it to the acquirer automatically.

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“Using Sardine’s card-to-name match, we were able to proactively block more than a third of all our card fraud attempts before they ever reached authorization.”
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Card fraud attempts blocked
Detect
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Marketplace Fraud

Marketplace payments

Facilitate payments between buyers and sellers without exposing your platform to coordinated abuse.

Digital Goods Fraud

Gift cards and digital goods

Stop stolen funds before they convert into gift cards, crypto, or other liquid digital assets.

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Prevent stolen payment monetization
Block stolen cards, stored credentials, and virtual cards used to instantly purchase convertible digital goods before disputes surface.
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Stop card testing and burst purchase attacks
Detect low-dollar probing, micro-transaction abuse, and bot-driven bursts across SKUs with velocity monitoring at the account and device level.
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Block automated bulk abuse with digital-native signals
Identify scripts targeting limited drops and arbitrage-prone SKUs using device, identity, session, and value-extraction signals.
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How Prezzee scaled digital gift cards with higher approvals and fewer false declines with Sardine.
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increase in approval rates
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Prevent
Disrupt

In-App Purchase Fraud

Digital wallets and iGaming

Control deposit and cashout risk without disrupting legitimate play.

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Dartanion Wells
Dartanion Wells
Risk Supervisor
"What made Sardine stand out was their willingness to build something tailored to our specific needs. They took the time to understand our existing processes and business requirements, before making recommendations.”
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decrease in manual reviews

Machine learning models for payments and disputes

Automate dispute workflows and improve win rates with explainable, adaptive AI.

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Built for modern payment fraud operations

Machine Learning

Adaptive risk scoring

Score every payment in real-time using models trained on identity, device, behavior, and transaction history.

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Detect emerging fraud patterns
Identify new fraud attacks and behavioral shifts as they appear in live traffic.
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Learn from outcomes
Continuously retrain models using approvals, declines, chargebacks, and returns.
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Reduce false positives
Use cross-rail insights to approve payments incorrectly marked as high-risk.
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Explain every decision
Get full visibility into the reason codes and signals behind every risk decision.
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Reduce fraud while increasing approvals

Frequently
asked questions

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How does Sardine make payment decisions in real-time?

Sardine evaluates every payment inline using a unified decision engine that separates risk assessment from enforcement. Machine learning models score transactions using identity, device, behavioral, account, and historical outcome signals. Configurable workflows then translate that risk into precise actions within milliseconds, delivering consistent, explainable decisions across payment rails.