$100B+
Payments screened
in real time
in real time
Payments · Fraud & Risk
Payment Fraud Protection for Digital Payment Environments
Strengthen digital payment channels with tools that identify card-not-present fraud, card testing, account misuse, chargebacks, and other suspicious transaction activity. Paygasus supports layered fraud controls, transaction visibility, and review workflows that improve decision-making while helping maintain a seamless experience for legitimate customers.
Screen · decide · clear
Good ones through. Bad ones caught.
CNP · card-testing · review
The trust layer — proven on every decision
140+
Currencies
risk-scored
risk-scored
3,400+
Locations sending
transaction signal
transaction signal
50 + DC
U.S. states under
one risk model
one risk model
6 of 100
Fortune 100 enterprises
protected
protected
30
Countries · US · Canada
EU · India
EU · India
The balancing act
Balance Fraud Risk, Approval Rates, and Customer Friction
Effective fraud management requires more than blocking suspicious payments. Businesses also need to protect approval rates, reduce false declines, manage chargeback exposure, and give teams enough visibility to review risk with confidence.
Key Benefits
Reduce fraud exposure while improving approval rates, streamlining internal review workflows, and supporting more informed response decisions.
- Support payment approvals with more targeted fraud controls instead of blunt blocking rules.
- Identify suspicious activity early through rules, velocity controls, scoring, and layered verification.
- Improve fraud review with better visibility into flagged transactions, exceptions, and patterns.
- Adapt controls to your risk profile, payment channels, and customer experience requirements.
- Strengthen PCI DSS-aligned security with tokenization, encryption, and more secure payment data handling.
Capabilities
Payment Fraud Protection Capabilities
Fraud screening runs on machine-learning risk models delivered through Paygasus's processing rails and named acquiring partners, with rules and controls managed in the Paygasus platform.
Five controls that screen, score, and verify every transaction before it settles.
Customizable Positive & Negative Lists
Fraud Filters
Apply rule-based controls using card data, IP address, billing details, location signals, and customer reference fields to support more precise transaction screening.
Frequency & Amount Limits
Velocity Controls
Restrict transactions by count or dollar amount within defined timeframes to help reduce card testing, repeat attack attempts, and other abnormal payment behavior.
Risk-Based Decision Support
Fraud Scoring
Assign risk scores to transactions using multiple signals to support automated approve, decline, or review decisions based on your team’s preferred risk approach.
3DS, AVS & CVV
Verification Services
Use layered verification methods to confirm transaction details, support cardholder authentication, and reduce exposure in card-not-present payment environments.
Duplicate & Pattern Detection
Transaction Restrictions
Identify duplicate or suspicious transaction activity using account, amount, currency, and timing criteria to support faster intervention and better exception handling.
How a decision lands
One transaction, three possible verdicts
Layered signals don't just block — they route. The same controls that catch fraud are tuned to let good customers through and send only the ambiguous cases to a human.
Signals evaluated
Every transaction is scored against the full stack of controls before a verdict is reached — not a single blunt rule.
Fraud filtersVelocity controls3DS / AVS / CVVRisk scoreDuplicate & pattern checks
Approve
Good customer, low risk
Clean signals and a low score clear instantly — protecting approval rates and the checkout flow.
Review
Ambiguous, needs eyes
Mixed signals route to manual review with full context, instead of a reflexive decline.
Decline
Clear fraud pattern
Card testing, velocity spikes, or failed verification stop before they become chargebacks.
Buyer's checklist
Key Considerations for Payment Fraud Protection
Assess alignment across your transaction mix, operating model, and customer experience goals.
| Buyer Decision Area | What to Look For | How Paygasus Supports It |
|---|---|---|
| Approval Performance | Controls that reduce fraud without unnecessarily blocking good transactions | Layered screening, scoring, and verification to support more informed decisions |
| Card-Not-Present Risk | Protection for ecommerce, remote payments, and other digital acceptance channels | Support for filters, velocity rules, verification tools, and risk-based review workflows |
| Chargeback Exposure | Controls that help identify suspicious transactions before they become larger loss events | Fraud management tools designed to reduce exposure and improve exception handling |
| Operational Visibility | Reporting and transaction visibility for fraud review, trend monitoring, and rule tuning | Transaction-level visibility that supports investigation, review, and ongoing optimization |
| Review Workflow | A practical balance between automation and manual review | Risk scoring and API support for standard decisioning and advanced review scenarios |
| Adaptability | Controls that can be aligned to merchant model, payment channels, and changing fraud patterns | Configurable fraud tools that can be tuned to business-specific risk requirements |
Ready to improve payment fraud protection without adding unnecessary friction?
Talk to a specialist →Built for operations
Fraud Controls That Fit Real Payment Operations
Manage fraud controls, review flagged activity, and respond to changing risk across ecommerce, recurring billing, card-not-present activity, and other digital payment channels.
Business Impact
Support faster reviews, cleaner exception handling, and more consistent fraud decisions.
- Configure core fraud controls through the Paygasus dashboard for standard payment environments.
- Use the Risk Assessment API to support custom logic and advanced decisioning requirements.
- Support higher transaction volumes with real-time screening and review support.
- Strengthen payment data protection through tokenization and multi-layer encryption.
Evaluation framework
How to Evaluate Payment Fraud Protection
Use the areas below to assess whether your fraud approach matches your transaction mix, operating model, and customer experience requirements.
STEP 01
Match Controls to Risk
Start with the transaction patterns and fraud exposure your business actually faces.
- Card-not-present activity
- Card testing risk
- Chargeback exposure
STEP 02
Protect Legitimate Transactions
Fraud prevention should not create unnecessary friction for valid customer payments.
- Reduce false declines
- Preserve checkout flow
- Support approvals
STEP 03
Strengthen Review Visibility
Teams need clear insight into why transactions were flagged and how to respond.
- Risk scoring
- Manual review support
- Transaction visibility
STEP 04
Layer Verification
Fraud controls are more effective when multiple checks work together.
- 3D Secure
- AVS and CVV
- Custom fraud rules
STEP 05
Refine Over Time
Fraud patterns change, so controls should be reviewed and adjusted on an ongoing basis.
- Fraud trend monitoring
- Rule refinement
- Ongoing review
The toolkit
Tools That Support Day-to-Day Fraud Operations
Support investigation, review, adjustment, and ongoing fraud program management.
Tokenization
Reduce payment data exposure with tokenization that supports stronger data handling and helps limit the impact of compromised card information.
Risk Assessment API
Support advanced fraud logic and custom decisioning workflows with API-driven risk assessment for businesses that need tighter control over approvals, declines, and review paths.
Encryption
Protect payment data in transit with encryption that supports a stronger security posture across transaction processing, review workflows, and connected payment systems.
Questions
Frequently Asked Questions
It includes the controls, review workflows, and verification tools used to identify suspicious payment activity, reduce fraud exposure, and support legitimate transaction approvals.
Configurable rules and lists are used to allow, flag, or block transactions based on factors such as card data, IP address, billing details, and other transaction attributes.
These controls limit transaction frequency or value over a defined period to help identify repeated fraud attempts, card testing, and other abnormal activity patterns.
A risk level is assigned to transactions using multiple signals so businesses can support automated approvals, declines, or manual review based on their operating model.
This added authentication step helps confirm the cardholder with the issuer before a transaction is completed, which can support stronger protection in card-not-present environments.
Stop the loss, keep the sale
Protect Revenue with Paygasus
Support better payment decisions with layered fraud controls, stronger visibility, and more adaptable risk management.