Checkout attempt
VST-88291 · Card •••• 4242 · $249.00
Stop fraud before it reaches your business.
RevCent protects ecommerce businesses with Sentinel Anti-Fraud, RevCent’s free in-house fraud prevention system that evaluates visitors, customers, cards, velocity, order context, and previous fraud intelligence before risky payments reach the processor.
Sentinel Anti-Fraud
Prevent fraud before payment authorization.
Sentinel is RevCent’s in-house anti-fraud system. It runs before the payment is sent to a gateway, so high-risk attempts can be stopped before they create processing fees, gateway pressure, lost inventory, disputes, or damaged merchant history.
Visitor & IP
IP 198.51.100.42 · New device · Location mismatch
Behavior
3 attempts in 42 sec · Session velocity high
Payment & history
Card recently changed · No prior fraud match
Decision
Evaluate before gateway authorization
Card•••• 4242Order total$249.00
Location mismatchDetectedProxyClear
Attempt velocity3 in 42 secSession patternHigh
Card changedRecentlyPrior fraud matchNone
CleanContinue to gatewayFraudBlock before gateway
Multiple Layers
Fraud is stopped at multiple levels.
Fraud rarely shows up as one obvious signal. RevCent evaluates the request from several angles before deciding whether a payment should continue, be blocked, or be reviewed.
Bot velocity
Device mismatch
Prior fraud pattern
Sentinel inspects IP reputation, proxy use, location signals, request velocity, and automation patterns before the checkout reaches deeper payment logic.
Device consistency, session behavior, acquisition metadata, and the visitor journey are evaluated together to expose sudden or implausible changes.
Customer, card, order, prior decisions, and stored fraud evidence are compared with the current attempt so repeat patterns are recognized immediately.
Suspicious signals are isolated before payment is sent. Each layer catches a different class of fraud while clean attempts continue to the gateway.
Fraud Memory
RevCent remembers previous fraud.
A fraud attempt should make the business smarter. RevCent stores fraud context so previous attacks, suspicious patterns, blocked attempts, and risk signals can influence what happens next.
Every fraud decision becomes reusable context. Fraud Memory connects the evidence from previous attacks to the visitors, payments, customers, and orders involved—then makes that context available when the next attempt arrives.
What RevCent remembers
Every blocked attempt becomes a connected record of what happened and why. RevCent keeps the decision alongside visitor, payment, and business context, preserving the evidence behind the attack.
- Identity and network
- Retain visitor, IP, location, proxy, device, browser, and session details from each checkout attempt.
- Behavior and timing
- Capture velocity, navigation, repeated submissions, field changes, and mismatches in the order they occurred.
- Payment and business
- Connect card behavior, customer history, products, order value, and earlier fraud outcomes across the business.
How future attempts are evaluated
Every new checkout can be compared with earlier evidence before gateway authorization. Sentinel connects visitor, payment, and business signals, revealing repeated patterns that may appear harmless when considered alone.
- Recognize returning behavior
- Connect new devices, cards, or IPs to visitor patterns already observed in previous fraud attempts.
- Find meaningful overlap
- Combine similarities across behavior, timing, and payment activity into stronger evidence of repeated fraud.
- Use the complete history
- Evaluate each checkout alongside earlier decisions, related records, and outcomes for a fuller risk assessment.
What happens when fraud returns
When a known pattern returns, RevCent can respond with the supporting evidence already attached. High-confidence fraud can be blocked before gateway authorization, while the latest outcome enriches future decisions.
- Stop before the gateway
- Reduce authorization fees, processor pressure, artificial decline spikes, and gateway traffic from returning fraud attempts.
- Preserve the explanation
- Keep matched evidence, decision reasons, and related visitor records available for reporting, support, and review.
- Improve the next decision
- Attach the latest attempt, its outcome, and new relationships so future protection has richer context.
Card Testing Protection
Stop card testing before it burns your gateway.
Card testers rotate through payment credentials to discover which cards are valid. Sentinel evaluates every attempt within its complete visitor, device, network, session, and checkout context so RevCent can identify the coordinated pattern and stop it before gateway authorization.
RevCent evaluates the testing campaign, not just the individual decline. Card testers rotate payment credentials to discover which cards are valid. Sentinel correlates the activity around those attempts, makes a pre-authorization decision, and stops high-confidence attacks before they consume gateway resources.
How the pattern is recognized
- 01Attempt velocity
Payment attempts accelerate beyond normal customer pacing across a short, connected window.
- 02Rapid card rotation
Card numbers change repeatedly while the surrounding checkout behavior remains substantially the same.
- 03Shared visitor context
Visitor, device, browser, IP, session, and journey signals connect attempts that appear separate at the card level.
- 04Failure clustering
Declines and validation failures accumulate in a pattern that is unlikely to represent independent customers.
- 05Known attack overlap
Fraud Memory compares the activity with previous card-testing evidence and related visitor patterns.
How RevCent responds
- 01Evaluate before authorization
Sentinel reviews the complete attempt before RevCent sends a payment request to the configured gateway.
- 02Combine related signals
Several weak indicators can become decisive when velocity, card rotation, failures, and visitor context point to one campaign.
- 03Block the testing path
High-confidence card-testing activity can be stopped inside RevCent instead of becoming processor traffic.
- 04Keep legitimate buyers moving
A single decline is not treated as an attack by itself, helping normal checkout behavior continue without unnecessary friction.
- 05Strengthen future decisions
The evidence and outcome remain connected through Fraud Memory so returning patterns can be recognized earlier.
Every attempt adds context before any payment is sent.
Protection runs throughout the checkout flow. RevCent continually connects what is happening now with what it has already learned, allowing clean activity to continue while coordinated testing is contained upstream of the processor.
Each attempt is evaluated with the recent activity surrounding the same visitor, device, network, and checkout journey.
Sentinel connects velocity, rotating cards, repeated failures, and known history into one card-testing pattern.
When the combined evidence is decisive, RevCent blocks the attempt before creating an authorization request.
The signals and decision become reusable fraud context for later attempts, even when the attacker changes a card or device.
Case Studies
Real attacks become better protection.
The value of anti-fraud is not just blocking one suspicious payment. It is reducing processing damage, preserving merchant account health, and turning attack patterns into reusable intelligence.
2,500 stolen cards blocked in minutes.
Single card-testing event. Five-minute window. No attempts sent to the processor.
Attack context
Fraudsters rotated approximately 2,500 stolen cards through one connected checkout pattern. Velocity, card changes, shared visitor context, and repeated failures exposed the campaign.
RevCent decision
Sentinel connected the attempts, recognized high-confidence card testing, and blocked the activity before any authorization request was created.
Business protection
The processor remained untouched, unnecessary authorization fees and gateway pressure were avoided, and the attack pattern was retained in Fraud Memory.
$360,000 in fraud prevented in one month.
Total prevented amount calculated across one client account. None sent to the processor.
Attack context
Suspicious payment attempts accumulated across the month. Request risk, visitor validation, payment context, customer history, and prior fraud evidence were evaluated together.
RevCent decision
Sentinel identified the combined risk before normal processing and stopped the suspicious payment activity before it could reach the processor.
Business protection
RevCent reduced transaction costs, chargeback exposure, fulfillment risk, and merchant account pressure while preserving the evidence behind each decision.
Protect every payment with Sentinel.
Sentinel evaluates connected request, visitor, payment, customer, order, and historical context before suspicious activity reaches the gateway—giving your business comprehensive protection without treating every decline like fraud.
Evaluate the complete contextConnect velocity, device, IP, visitor behavior, payment changes, business history, and earlier fraud evidence before making a decision.
Stop attacks before authorizationBlock high-confidence fraud and card testing before they create gateway traffic, processing costs, fulfillment risk, or merchant account pressure.
Remember every decisionRetain the evidence and outcome in Fraud Memory so later attempts can be compared with what RevCent has already learned.