Fraud Prevention Vendor Landscape
Last verified: Mar 2026. Vendor landscape shifts fast - check vendor sites for current pricing and features before committing.
- Under $1M/year? Your processor's built-in tools are enough. See what you already have.
- $1M-$10M/year? Add chargeback alerts first, then consider a dedicated fraud platform or a guarantee provider depending on your fraud mix.
- Over $10M/year? You need 3-5 layered tools. Use the decision flowchart to find your stack.
- Not sure what to buy? Jump to By Platform: What to Buy for platform-specific recommendations.
Key Fact: Most merchants under $1M/year in volume do not need a dedicated fraud platform. Processor-included tools (Stripe Radar, Square's ML, Adyen RevenueProtect) plus chargeback alerts ($20-40 per alert) are sufficient until chargebacks consistently exceed 0.5%.
At a Glance: Top Fraud Vendors Compared
| Vendor | Founded | Best For | Pricing Model | Guarantee? | Network Scale | Integration |
|---|---|---|---|---|---|---|
| Processor built-in (Stripe Radar, Adyen Risk) | N/A | Under $1M/year | Included (Radar for Fraud Teams: $0.02/txn) | No | Stripe/Adyen merchant networks | Already connected |
| Signifyd | 2011 (San Jose, CA) | Mid-market to enterprise e-commerce | % of approved GMV | Yes - 100% chargeback guarantee | Commerce Network (thousands of merchant sites) | Shopify, Magento, BigCommerce, Salesforce Commerce, SAP, API |
| Riskified | 2013 (Tel Aviv) | Fashion, luxury, high-AOV e-commerce | % of approved GMV | Yes - 100% chargeback guarantee; 95-98% approval rates reported | Thousands of enterprise merchants | Shopify, Magento, BigCommerce, WooCommerce, API |
| Forter | 2013 (Tel Aviv / New York) | Enterprise e-commerce, no manual review needed | % of approved GMV (enterprise contracts) | Yes - 100% chargeback guarantee; sub-400ms decisions | Trusted Identities Network (cross-merchant identity graph) | Shopify, Salesforce Commerce, Magento, processor integrations (Adyen, Stripe, Braintree) |
| ClearSale | 2001 (Sao Paulo, Brazil) | LATAM and cross-border e-commerce | % of GMV (guarantee) or per-transaction (non-guarantee) | Yes - 100% on guaranteed orders; 99%+ approval rates claimed | 1,500+ human fraud analysts for manual review | Shopify, Magento, WooCommerce, BigCommerce, VTEX, Salesforce Commerce |
| NoFraud | 2015 (New York) | SMB e-commerce | Per-transaction fee (guarantee included) | Yes - chargeback guarantee on passed orders | Proprietary network | Shopify, WooCommerce, Magento, BigCommerce, Volusion |
| Sift | 2011 (San Francisco) | Marketplaces, digital goods, account fraud | Per-event (quote-based) | No (scoring + workflows) | 34,000+ sites; 1T+ events; 1.6B+ personas mapped | Python, Ruby, Java, PHP SDKs; JS snippet; iOS/Android |
| Sardine | 2020 (San Francisco) | Fintech, banking, crypto, payments + compliance | Per-API-call (quote-based) | No (scoring + rules) | Cross-client device and behavioral consortium (growing) | JS SDK, iOS (Swift), Android (Kotlin), React Native, REST API |
| Kount (Equifax) | 2007 (Boise, ID) - acquired by Equifax 2021 | Mid-market, gaming, digital goods | Per-transaction (quote-based) | No (scoring + rules) | 32B+ annual interactions in Identity Trust Global Network + Equifax consumer data | Shopify, Magento, BigCommerce, WooCommerce, processor integrations |
| Accertify (Amex) | Amex subsidiary | Enterprise - airlines, hospitality, travel | Custom enterprise pricing | No | Community Intelligence (cross-merchant sharing) | Custom API |
| Ravelin | 2014 (London, UK) | Marketplaces, food delivery, travel | Custom pricing | No | Proprietary network | REST API, JS snippet |
| Radial | N/A | Retailers wanting fully outsourced fraud ops | Custom managed-service pricing | Yes (as part of managed service) | Managed by Radial analyst team | Full managed service |
| Ethoca (Mastercard) | 2005 (Toronto) - acquired by Mastercard 2019 | Pre-dispute alerts, all card networks | Per-alert ($15-40 via resellers) | N/A (prevention, not fraud detection) | 5,000+ issuers globally | Portal, API, or via resellers (Chargebacks911, Midigator) |
| Verifi (Visa) | 2005 (Los Angeles) - acquired by Visa 2019 | Automated Visa dispute resolution | Per-resolved-dispute (RDR) or per-alert (CDRN) | N/A (prevention, not fraud detection) | Visa network (primary) | Rules portal, API, or via resellers; Stripe has built-in RDR toggle |
How to read this: Guarantee providers (Signifyd, Riskified, Forter, ClearSale, NoFraud) absorb your fraud chargebacks but cost more - typically a percentage of GMV. None publish rate cards; all require a sales conversation. Scoring providers (Sift, Sardine, Kount) give you decisions and data but you keep the liability - pricing is per-event or per-API-call, also quote-based. Alert services (Ethoca, Verifi) don't prevent fraud; they prevent chargebacks by letting you refund before the chargeback posts. Most merchants need alerts first, then add a platform as they scale.
Pick Your Path
Not sure what you need? Follow the arrows:
What Should I Buy? (Scenario Guide)
Find the scenario closest to your situation:
| Your situation | What to do | What to buy | Setup effort | Monthly cost |
|---|---|---|---|---|
| $500K Shopify store, chargebacks under 0.3% | Nothing. Shopify's built-in fraud analysis is handling it. | Nothing new | None | $0 |
| $500K Shopify store, chargebacks above 0.5% | Add chargeback alerts to deflect disputes before they post. | Ethoca + Verifi via reseller (Chargebacks911 or Chargeback Gurus) | Days, no code | $200-$400/mo |
| $500K-$1M any platform, chargebacks 0.3-0.65% | Tune your processor's built-in rules first. Fix your billing descriptor. Add alerts only if chargebacks don't drop within 30 days. | Processor tools (free) + possibly alerts via reseller | Afternoon for rules, days for alerts | $0-$400/mo |
| $500K-$1M any platform, chargebacks above 0.65% | Add alerts immediately - you're near monitoring program thresholds. Tune processor rules aggressively. Do NOT buy a fraud platform yet - alerts and rule tuning solve most problems at this volume. | Alerts via reseller + processor rule tuning | Days | $200-$400/mo |
| $2M Stripe store, chargebacks at 0.7% | Tune Stripe Radar rules and add chargeback alerts. | Radar for Fraud Teams ($0.02/txn, $0.07 on Connect) + alerts via reseller | Afternoon for Radar, days for alerts | $300-$600/mo + Radar fees |
| $2M WooCommerce, chargebacks at 0.9% | Add alerts immediately. Evaluate a fraud platform if chargebacks don't drop within 60 days. | Alerts via reseller, then possibly Signifyd or ClearSale plugin | Days for alerts, 1-2 weeks for fraud platform | $300-$2,000/mo |
| $5M Stripe store, card testing attacks | Add device intelligence and behavioral analysis to catch what Radar misses. | Sardine (SDK + API) or Kount + alerts via reseller | 1-2 weeks (developer needed) | $1,000-$3,000/mo |
| $5M WooCommerce, ATO attacks | Add device intelligence and behavioral biometrics. | Sardine or Kount + alerts via reseller | 1-2 weeks (developer needed) | $1,000-$3,000/mo |
| $10M e-commerce, want someone else to own fraud losses | Shift liability to a guarantee provider. They approve/decline orders and pay for fraud chargebacks. | Signifyd or Riskified + alerts via reseller | 1-2 weeks | 0.5-1.5% of GMV |
| $15M e-commerce, have a fraud analyst on staff | Build a tuned fraud stack you control. More work, but lower false positives and you keep borderline revenue. | Sardine or Sift + alerts + identity enrichment (Ekata) | 2-4 weeks | $3,000-$8,000/mo |
| $50M+ enterprise, complex fraud patterns | Layered stack with dedicated fraud team. | Fraud platform + alerts + device intelligence + identity + orchestration | 1-3 months | $10,000-$30,000+/mo |
| Any volume, dispute ratio approaching 0.65% | Stop the bleeding immediately. You're near monitoring program thresholds. | Chargeback alerts (both networks) + Verifi RDR auto-refund rules | Days | $200-$500/mo |
Full page contents
- At a Glance: Top Fraud Vendors Compared
- Pick Your Path
- Vendor Categories at a Glance
- What Your Processor Already Gives You (and Where It Stops)
- Beyond Processor Tools: Dedicated Fraud Platforms
- How Chargeback Alerts Fit In
- By Platform: What to Buy
- Recommended Stack by Volume
- Vendor Comparison
- Identity Verification
- Device Fingerprinting & Intelligence
- Consortium Data Networks
- Enterprise Fraud Management Platforms
- Card Network Fraud Tools
- Merchant-Focused Solutions
- Market Dynamics & Trends (2024–2025)
- Next Steps
- See Also
Vendor Categories at a Glance
| Category | Primary Use Case | Key Vendors | Typical Pricing |
|---|---|---|---|
| Identity Verification | KYC, onboarding, step-up auth | Socure, Onfido, Ekata, Veriff, iDenfy | $0.50-$5 per verification |
| Data Enrichment | IP, email, phone signals for rules | MaxMind, IPQS, Emailage, Telesign, AtData (Experian) | Free tiers available. Paid from $99/month |
| Device Fingerprinting | Account takeover, multi-accounting | ThreatMetrix, Iovation, Fingerprint, BioCatch, SEON | Per-session or per-transaction |
| Consortium Data | Cross-institution fraud signals | LexisNexis, FICO Falcon Network, Sift | Subscription + per-query |
| Enterprise Fraud Platform | Case management, rules engine, ML | NICE Actimize, Feedzai, FICO, SAS, Sardine | Annual license + implementation |
| Network Tools | Real-time authorization scoring | Visa VAA, Mastercard Decision Intelligence | Usually included via processor |
| Chargeback Alerts | Pre-dispute alerts, enrichment | Ethoca, Verifi (RDR/CDRN) | $15-$40 per alert via resellers |
| Chargeback Management | Representment, dispute ops | Chargebacks911, Chargeback Gurus, Midigator | Performance-based or retainer |
| Merchant Fraud/Guarantee | Order screening, liability shift | Signifyd, Riskified, Forter, ClearSale, Kount | % of GMV or per-transaction |
| Managed Fraud Services | Outsourced fraud operations | Radial | Custom managed-service pricing |
The right combination depends on your fraud mix (ATO vs. first-party vs. third-party), transaction volume, and existing infrastructure.
What Your Processor Already Gives You (and Where It Stops)
Stop. Before you buy anything, check what you're already paying for. Every major processor includes fraud tools at no extra cost, and most merchants under $1M/year don't need anything beyond these plus chargeback alerts.
| Processor | Custom rules? | Risk scores exposed? | Behavioral signals? | You've outgrown it when... |
|---|---|---|---|---|
| Stripe Radar | Yes (Fraud Teams: $0.02/txn, $0.07 on Connect) | Yes (0-99) | Limited | Card testing persists, need behavioral signals, multi-processor |
| Square | No | No | No | Need any customization at all |
| Adyen RevenueProtect | Yes (included) | Yes | Limited | Need deep device intel or cross-processor consortium |
| Shopify | No | No (low/med/high only) | No | Chargeback rate exceeds 0.5% |
| Braintree | Via Kount upgrade | Limited | No | Need advanced rules or review queues |
Details on each:
Stripe Radar
What you get free: ML risk scoring on every transaction, basic block/allow lists, Stripe.js device data collection, real-time scoring against Stripe's network of millions of merchants.
What Radar for Fraud Teams adds ($0.02/txn, $0.07 on Connect platforms): Custom rules with if/then logic, manual review queues, risk score thresholds for 3DS triggers, advanced rule conditions (velocity, metadata matching), risk insights dashboard.
What Radar can't do:
- No behavioral biometrics (typing patterns, mouse dynamics)
- No deep device intelligence (500+ signal fingerprinting)
- No AML/KYC compliance
- Only works on Stripe transactions - can't score orders from other processors
- Limited consortium depth compared to dedicated fraud platforms
You've outgrown Radar when:
- Chargebacks keep climbing despite tuning rules
- You're seeing card testing attacks that Radar's velocity rules aren't catching
- You need behavioral signals to detect ATO or sophisticated bot attacks
- You process on multiple processors and need unified fraud scoring
Square
What you get: Automatic ML-based fraud detection on all transactions. Zero setup required.
What Square can't do:
- No custom rules at all - you can't set thresholds or conditions
- No exposed risk scores - you can't see why a transaction was flagged
- No API access to fraud signals
- No manual review queue
- Very limited third-party fraud tool integrations
You've outgrown Square when:
- You need any customization of fraud rules
- You want to understand why transactions are being declined
- You need to integrate fraud signals with other systems
- Your fraud patterns need more than automatic-only protection
Adyen RevenueProtect
What you get: Risk scoring on every transaction, basic rules engine, ShopperDNA device fingerprinting, velocity checks, referral lists (block/allow). Included with Adyen processing.
What RevenueProtect can't do:
- Rules engine is less flexible than a dedicated fraud platform
- Limited behavioral biometrics
- Consortium is limited to Adyen merchants
- No guarantee model - you own all losses
You've outgrown RevenueProtect when:
- You need behavioral biometrics or deep device intelligence
- Your fraud patterns require cross-processor consortium signals
- You want a guarantee to shift liability
Shopify
What you get: Basic fraud analysis indicators on orders (low/medium/high risk flags). Shopify Flow for some automation. Shopify Protect covers eligible Shop Pay orders on select plans.
What Shopify can't do:
- No custom fraud rules
- No real-time scoring API
- Risk indicators are basic - not a full scoring engine
- Shopify Protect is limited to Shop Pay and specific plan tiers
You've outgrown Shopify's built-in tools when:
- Your chargeback rate exceeds 0.5%
- You're seeing fraud patterns the basic indicators miss
- You need automated decisioning beyond Shopify Flow
Braintree (PayPal)
What you get: Basic fraud tools included with processing. Kount-powered fraud detection available as an upgrade (Kount is owned by Equifax, integrated with Braintree via partnership). Risk data in transaction responses.
What Braintree can't do:
- Advanced rules require Kount upgrade (separate product)
- Limited behavioral signals
- Fraud tools are secondary to payment processing focus
You've outgrown Braintree's built-in tools when:
- You need advanced rules or ML scoring beyond basics
- You're seeing fraud Braintree's automatic tools aren't catching
- You want custom review queues or case management
For setup details on configuring your processor's fraud rules, see Processor Rules Configuration. Don't duplicate that setup work here - go tune what you have first.
If you've tuned your rules and chargebacks are still climbing, or you're seeing fraud patterns your processor can't catch, you have two paths: add a dedicated fraud platform for deeper detection, or shift liability to a guarantee provider. But first, make sure you have chargeback alerts - they're cheaper, faster to deploy, and solve the most common SMB problem (ratio, not fraud losses).
Key Fact: Stripe Radar is included free on all Stripe accounts. Radar for Fraud Teams (custom rules, review queue, 3DS control) costs an additional $0.02 per screened transaction ($0.07 on Connect platforms). Guarantee providers like Signifyd and Riskified charge 0.5-1.5% of approved GMV but absorb 100% of fraud chargeback liability.
Beyond Processor Tools: Dedicated Fraud Platforms
When processor tools aren't enough, most merchants face a choice: buy 3 separate tools (device fingerprinting + behavioral biometrics + rules engine) or find one platform that combines them.
The three main platforms in this space are Sardine, Sift, and Kount. Here's how they differ at a glance (full head-to-head below):
| Capability | Sardine | Sift | Kount |
|---|---|---|---|
| Device intelligence | 500+ signals | Standard | Standard + Equifax identity |
| Behavioral biometrics | Full (typing, mouse, touch) | Limited | None |
| Rules engine | Yes | Yes (Workflows) | Yes (most configurable) |
| AML/KYC compliance | Yes | No | No |
| Content/promo abuse | No | Yes | Yes |
| Consortium | Growing | 34,000+ sites | Equifax consumer DB |
Sardine gets a longer profile here because it's the only platform that consolidates device intelligence, behavioral biometrics, and compliance into one SDK - which means fewer vendor contracts and one integration instead of three. That matters most for fintechs and merchants who need fraud + compliance together. If compliance isn't a concern, Kount gives you the most rule-building flexibility, and Sift is strongest for marketplaces with content abuse problems.
What Sardine adds that processor tools don't:
- 500+ device signals - Detects device spoofing, emulators, remote access tools, and privacy browsers that slip past processor-level checks.
- Behavioral biometrics - Typing cadence, mouse dynamics, touch pressure, scroll patterns. Catches ATO and bot attacks that look normal at the transaction level.
- Cross-client consortium - Device and behavioral patterns across Sardine's customer network, not just your processor's merchants.
- AML/KYC compliance - Anti-money laundering, sanctions screening, and identity verification in the same platform.
How it layers with your processor:
Stripe Radar auto-declines clear fraud (score 90+) and auto-approves clean transactions (score under 20). Everything in between goes to Sardine for deeper analysis - device spoofing, behavioral anomalies, synthetic identities, cross-merchant fraud rings. This keeps costs lower because you're only sending uncertain transactions.
Setup: JavaScript SDK + mobile SDKs + REST API. Days, not weeks. No hardware.
Pricing: Per-API-call. Contact Sardine for volume pricing.
For full technical profiles of all three platforms, see the vendor comparison below.
How Chargeback Alerts Fit In
Chargeback alerts (Ethoca and Verifi) are not fraud tools. They don't prevent fraud. They prevent chargebacks. This distinction matters because most SMBs buy a fraud platform when what they actually need is alerts.
Three layers, three different jobs:
Prevention (Radar, Sardine, Sift) stops fraud before you ship. Alerts (Ethoca, Verifi) stop chargebacks after the fraud happens but before the chargeback posts to your ratio. Representment (Chargebacks911, Gurus) fights chargebacks after they've already posted.
Why You Should Add Alerts Before Buying a Fraud Platform
If your main problem is chargeback ratio (not fraud losses), alerts are the faster, cheaper fix:
- No code changes. Your reseller handles the integration.
- Live in days, not weeks.
- $200-$500/month for most SMBs via a reseller - far less than a fraud platform.
- Immediately deflects disputes off your ratio, buying you time to address root causes.
A fraud platform prevents future fraud. Alerts stop today's disputes from becoming chargebacks. If your ratio is approaching 0.65% and you're at risk of a monitoring program, alerts are the emergency brake.
How to Buy Alerts
Don't go direct to Ethoca or Verifi. Buy through a reseller:
- Chargebacks911 and Chargeback Gurus bundle both Ethoca and Verifi into a single service, covering both Mastercard and Visa disputes.
- Resellers handle the operational workflow - matching alerts to orders, processing refunds, tracking outcomes.
- Cost: $15-$40 per alert, with most SMBs spending $200-$500/month total.
- Setup: days. The reseller does the work.
For detailed coverage of alert mechanics, see Chargeback Alerts. For the full vendor comparison of Ethoca vs. Verifi vs. RDR vs. CDRN, see the alert comparison below.
By Platform: What to Buy
Your e-commerce platform determines which fraud tools integrate easily and which require custom development.
If your monthly volume is under $500K, do not add third-party fraud vendors. Your processor's built-in tools (Stripe Radar, Adyen RevenueProtect, Shopify's fraud analysis, Square's automatic detection) are sufficient. The cost of a dedicated fraud platform at this volume will almost certainly exceed your fraud losses. Focus on billing descriptors, 3DS on high-risk orders, and chargeback alerts if your dispute ratio is climbing.
| Platform | Built-in fraud tools | Add alerts? | Need more fraud protection? | Setup effort |
|---|---|---|---|---|
| Shopify | Basic fraud analysis (free). Shopify Flow for some automation. Shopify Protect on eligible Shop Pay orders. | Yes, via reseller. No code needed. | Signifyd, Riskified, ClearSale have Shopify plugins (install in minutes). Sardine via API (developer needed). | Plugins: afternoon. API: 1-2 weeks. |
| WooCommerce | None built-in. Depends on your payment gateway plugin. | Yes, via reseller. No code needed. | Kount, Signifyd, ClearSale have WooCommerce plugins. Sardine via API. | Plugins: afternoon. API: 1-2 weeks. |
| Stripe (direct API) | Stripe Radar (free basic, $0.02/txn for Fraud Teams, $0.07 on Connect). Strong rules engine. | Yes, via reseller. No code needed. | Sardine, Sift, Kount via API. Signifyd/Riskified via API. | Radar rules: afternoon. Third-party API: 1-2 weeks. |
| Square | Automatic fraud detection. No customization. | Yes, via reseller. No code needed. | Limited options - most third-party fraud tools don't integrate directly with Square. Consider Signifyd. | Alerts: days. Third-party: evaluate carefully. |
| Adyen | RevenueProtect (included). Solid rules engine, ShopperDNA device fingerprinting. | Yes, via reseller. No code needed. | Sardine, Forter, Riskified via API. | Alerts: days. Third-party API: 1-2 weeks. |
| BigCommerce | Depends on your payment gateway. | Yes, via reseller. No code needed. | Signifyd, ClearSale have BigCommerce plugins. Others via API. | Plugins: afternoon. API: 1-2 weeks. |
Chargeback alerts never require a developer - your reseller handles setup. Platform plugins (Shopify, WooCommerce, BigCommerce) are self-service. API integrations (Sardine, Sift, Kount) require a developer for 1-2 weeks. If you don't have a developer, stick with platform plugins or guarantee providers with pre-built integrations for your platform.
Recommended Stack by Volume
Most merchants don't need one vendor from every category. Here's what a practical stack looks like at different volumes, with specific vendor recommendations:
| Annual Volume | What to Buy | Setup Effort | Developer Needed? | Monthly Cost |
|---|---|---|---|---|
| Under $1M | Processor built-in tools only (Stripe Radar, Square, Adyen RevenueProtect) | Already done | No | $0 (included) |
| $1M-$5M | Processor tools + chargeback alerts (Ethoca + Verifi via Chargebacks911 or Chargeback Gurus) | Days | No | $200-$500/mo |
| $5M-$20M | Processor tools + alerts + Sardine or Kount (if you want control) OR Signifyd or Riskified (if you want a guarantee) | 1-2 weeks | Yes for fraud platform, no for guarantee plugin | $1,000-$5,000/mo |
| $20M-$100M | Signifyd/Riskified (guarantee) OR Sardine/Sift (platform) + alerts + Ekata or Iovation (identity enrichment) | 2-4 weeks | Yes | $5,000-$20,000/mo |
| $100M+ | Layered stack: fraud platform + alerts + device intelligence + identity enrichment + possibly orchestration layer | 1-3 months | Yes (dedicated team) | $20,000+/mo |
Choosing between a fraud platform and a guarantee provider:
| Fraud Platform (Sardine, Sift, Kount) | Guarantee Provider (Signifyd, Riskified, Forter) | |
|---|---|---|
| Who decides | You set the rules and thresholds | The vendor decides for you |
| Who owns losses | You | The vendor (on guaranteed orders) |
| Customization | High - you control the logic | Low - the vendor controls the logic |
| False positives | Under your control | Under their control (they tend to be conservative) |
| Best when | You have a fraud analyst or someone managing rules | You want to shift liability and don't want to manage fraud ops |
| Revenue risk | Lower false positive rate (you approve borderline orders) | Higher false positive rate (vendor declines borderline orders to protect their guarantee) |
Don't buy tools you don't need yet. Every vendor on this page will happily sell to you regardless of whether you'll get value from their product.
Vendor Comparison
This section compares specific vendors side by side - how they integrate, what data they collect, how they make decisions, and what you need to set them up. Vendors are grouped by what they do.
Processor Built-in Tools (Start Here)
These are included with your payment processor at no extra cost (or minimal cost). No separate contract or integration needed.
| Stripe Radar | Square | |
|---|---|---|
| Integration | Automatic if on Stripe. Stripe.js collects device data at checkout. | Automatic on all Square products. No setup. |
| SDKs | Web (Stripe.js), iOS (Stripe SDK), Android (Stripe SDK) | Square Web Payments SDK, Square iOS/Android SDKs |
| Data collected | Device fingerprint, IP address, email, billing/shipping address, card metadata, transaction velocity, behavioral signals from Stripe.js | Transaction data, card metadata, device info from Square hardware/apps |
| Decision method | ML risk score (0-99) on every charge + customizable rules engine | ML-based automatic scoring. No exposed score. |
| Customization | High. Custom rules (if/then logic), block/allow lists, 3DS triggers, manual review queues, risk score thresholds. Radar for Fraud Teams adds advanced rules. | Minimal. No custom rules, no exposed scores. Automatic only. |
| Consortium data | Stripe's network of millions of merchants globally | Square's merchant network |
| Response time | Real-time (every transaction scored at authorization) | Real-time |
| Fraud types | CNP fraud, stolen cards, card testing | CNP fraud, card-present counterfeit |
| Pricing | Free (basic). Radar for Fraud Teams: $0.02/screened transaction ($0.07 on Connect platforms). | Included with Square. |
| Best for | Stripe merchants at any volume wanting configurable fraud rules | Square merchants wanting zero-config protection |
| Not for | Non-Stripe merchants. Can't use Radar with another processor. | Merchants needing custom rules or advanced fraud ops |
Your processor tools stop being enough when: (1) your chargeback ratio is climbing despite using them, (2) you're seeing fraud patterns they're not catching (card testing, ATO), or (3) you need a chargeback guarantee to shift liability. If none of these apply, stay here.
Fraud Scoring and Decision Platforms
These screen transactions and/or accounts using ML, rules engines, device intelligence, and consortium data. They help you decide whether to approve, decline, or review a transaction. Some are full decision engines; others are data enrichment layers that feed signals into your existing stack.
Sardine
What it is: AI-native fraud and compliance platform combining device intelligence, behavioral biometrics, and a rules engine in one SDK. Also covers AML/KYC compliance.
How it works: You embed Sardine's SDK in your web or mobile app. As a user interacts with your site, the SDK passively collects 500+ device signals and behavioral biometrics (typing cadence, mouse movements, touch pressure, scroll patterns, copy-paste behavior) without adding user friction. When a transaction or account event occurs, you send it to Sardine's API. Sardine returns a risk score combining device intelligence, behavioral analysis, and its cross-client consortium data. You can also configure rules in Sardine's dashboard that auto-approve, auto-decline, or route to review based on score thresholds and custom conditions.
| Integration | JavaScript SDK (web) + mobile SDKs + REST API for transaction/account events |
| SDKs | Web (JavaScript), iOS (Swift), Android (Kotlin). Server-side API for event submission. |
| Data collected | Device fingerprint (500+ signals: hardware, OS, browser, screen, fonts, WebGL, audio context), behavioral biometrics (typing speed, mouse dynamics, touch gestures, device tilt, scroll behavior), IP/network analysis, session replay data. You also send transaction and identity data via API. |
| Decision method | ML scoring + configurable rules engine. Returns risk score + individual signal scores. You can build rules on top of scores in the dashboard. |
| Customization | Full rules engine with if/then logic, custom thresholds, workflow routing. Can create rules combining Sardine signals with your own data. |
| Consortium data | Cross-client device and behavioral consortium from Sardine's customer network |
| Also does | AML transaction monitoring, KYC/KYB identity verification, sanctions screening, SAR filing workflows |
| Response time | Real-time (sub-second API response) |
| Fraud types | Account takeover, synthetic identity, card testing, bot attacks, new account fraud, payment fraud, money laundering |
| Pricing | Per-API-call. Contact for volume pricing. |
| Best for | Fintechs, crypto/web3, neobanks, BNPL, lending platforms, any business that handles money movement and needs fraud + compliance in one tool |
| Not for | Simple DTC e-commerce under $1M. The compliance features are overkill if you just need basic transaction screening. |
Sift
What it is: Real-time ML platform covering payment fraud, account takeover, content abuse, and promotional abuse. Large merchant consortium (34,000+ sites).
How it works: You integrate Sift's JavaScript snippet on your site and send events (transactions, account actions, content posts) to Sift's REST API using their server-side libraries. Sift returns a risk score (0-100) for each event. You configure Workflows in Sift's console - automated decision logic that combines Sift scores with your custom rules to approve, block, or queue for review. Sift learns from your feedback: when you tag transactions as fraud or legitimate, it retrains the model for your specific patterns.
| Integration | JavaScript snippet (web) + mobile SDKs + server-side event API |
| SDKs | Web (JavaScript), iOS, Android. Server-side libraries: Python, Ruby, Java, PHP, Node.js |
| Data collected | Device fingerprint (browser, OS, hardware signals), IP geolocation, session behavior (pages viewed, time on site), email/phone metadata. You send transaction details, account data, and content data via API events. |
| Decision method | ML scoring (Sift Score 0-100) + Workflows (configurable decision automation). Scores update in real-time based on new signals. |
| Customization | Workflows let you build if/then decision trees combining Sift scores with custom fields. Custom event types beyond the built-in ones. Score thresholds for auto-approve/auto-decline. |
| Consortium data | Sift Digital Trust Network - 34,000+ sites including Airbnb, DoorDash, Booking.com. Cross-merchant signals for devices, emails, payment methods. |
| Also does | Content abuse (fake reviews, spam, scam listings), account takeover detection, promo/coupon abuse, account creation fraud |
| Response time | Real-time (sub-second scoring) |
| Fraud types | Payment fraud, ATO, card testing, content abuse, promo abuse, fake accounts |
| Pricing | Per-event pricing. Can get expensive at high event volume since you're sending page views and account events, not just transactions. |
| Best for | Marketplaces, platforms with content + payment fraud, businesses needing to track fraud across the full user journey (not just checkout) |
| Not for | Merchants wanting a guarantee model (Sift doesn't offer one - you own the losses). Also expensive for very high-volume, low-margin businesses. |
Kount (Equifax)
What it is: Device intelligence + identity verification + highly configurable rules engine. Acquired by Equifax in 2021, giving it access to Equifax's consumer identity data.
How it works: You embed Kount's Device Data Collector (DDC) JavaScript tag on your checkout page. The DDC collects device fingerprint data and sends it to Kount before the transaction completes. When the transaction fires, you send transaction details to Kount's API. Kount returns an Omniscore (risk rating) based on its ML models, device intelligence, and Equifax identity data. You build custom rules in Kount's Command console - a visual rules editor where you define conditions and actions (approve, decline, review). Kount also provides a case management queue for manual review.
| Integration | JavaScript tag (Device Data Collector) + REST API for transactions |
| SDKs | Web (JavaScript DDC), iOS SDK, Android SDK. Server-side integration via REST API. |
| Data collected | Device fingerprint (browser, OS, hardware, plugins, timezone, language, screen resolution), IP geolocation, proxy/VPN detection. Via API: transaction details, billing/shipping addresses, email, phone. Enriched with Equifax consumer identity data. |
| Decision method | Omniscore (ML risk score) + visual rules engine (Command console). Rules can reference Omniscore, device data, Equifax signals, velocity counters, and custom fields. |
| Customization | Extensive. Visual rules builder with if/then logic, custom variables, velocity rules, time-based conditions. Manual review queues with custom workflows. Virtual analyst for automated decisioning. Most configurable of the merchant platforms. |
| Consortium data | Kount's merchant network + Equifax consumer identity database |
| Response time | Real-time (sub-second) |
| Fraud types | CNP fraud, card testing, ATO, bot attacks, new account fraud, promo abuse |
| Pricing | Per-transaction. Volume-based pricing tiers. |
| Best for | Merchants wanting hands-on control over fraud rules. Gaming, digital goods, ticketing. Teams with a fraud analyst who wants to tune rules, not trust a black box. |
| Not for | Merchants wanting a hands-off guarantee model. Steeper learning curve than guarantee providers - you need someone managing the rules. |
FICO Falcon
What it is: Enterprise fraud management platform for card issuers. 30+ years in market, protects billions of card accounts globally. The industry standard for issuer-side card fraud detection.
How it works: Falcon sits in the authorization stream between the card network and the issuer. When a cardholder makes a purchase, the authorization request passes through Falcon before the issuer approves or declines. Falcon scores the transaction in real-time using its patented neural network models trained on the Falcon Intelligence Network (consortium data from participating issuers globally). The score, along with reason codes, is returned to the issuer's authorization system where rules determine whether to approve, decline, or trigger step-up authentication. Falcon also provides case management for analysts to investigate flagged transactions and a rules engine for issuer-specific policies.
| Integration | Processor-level integration in the authorization stream. Not a merchant-facing SDK. Deployed on-premises or cloud-hosted by FICO. |
| SDKs | None for merchants. Integration is between issuer processors (e.g., FIS, Fiserv, TSYS) and FICO infrastructure. |
| Data collected | Transaction data from authorization messages (amount, MCC, merchant, location, time, card-present vs. card-not-present), cardholder history, Falcon Intelligence Network consortium data. Does not collect device or behavioral data directly. |
| Decision method | Patented neural network models continuously retrained on consortium data. Real-time transaction scoring + rules engine. Models are specific to card fraud patterns (not general ML). |
| Customization | Rules engine for issuer-specific policies. Model tuning with FICO professional services. Strategy management for approval/decline/review thresholds. |
| Consortium data | Falcon Intelligence Network - one of the largest in payments. Hundreds of billions of tagged transactions from thousands of issuers globally. |
| Response time | Sub-millisecond scoring (must fit within authorization latency requirements) |
| Fraud types | Card-not-present fraud, card-present counterfeit/lost-stolen, card testing, account takeover (at the issuer level) |
| Pricing | Annual license + implementation. Enterprise pricing ($100K-$1M+ depending on card portfolio size). |
| Best for | Card issuers (banks, credit unions) and issuer-processors |
| Not for | Merchants. If you're a merchant, Falcon protects you indirectly (your customers' banks use it to approve/decline), but you don't buy or integrate Falcon. |
Iovation (TransUnion TruValidate)
What it is: Device reputation network tracking 6B+ recognized devices globally. Now part of TransUnion's TruValidate identity and fraud suite. Primarily a device intelligence layer, not a full decisioning platform.
How it works: You embed Iovation's JavaScript tag or mobile SDK on your site/app. When a user visits, the tag collects device attributes and generates a device hash (fingerprint). This hash is checked against Iovation's device reputation database - a global network of device histories contributed by Iovation's customers (banks, lenders, e-commerce, gaming companies). The API returns: whether the device has been seen before, its reputation score, whether it's associated with known fraud, proxy/VPN detection, and device anomalies (jailbroken, emulator, location spoofing). You then use these signals in your own rules engine or fraud platform to make decisions.
| Integration | JavaScript tag (web) + mobile SDKs + REST API for device lookups |
| SDKs | Web (JavaScript), iOS, Android |
| Data collected | Device fingerprint (hardware model, OS version, browser, screen resolution, timezone, language, installed plugins/fonts, WebGL renderer), IP analysis (proxy, VPN, Tor detection), device jailbreak/root detection, emulator detection, location spoofing detection |
| Decision method | Device reputation scoring based on global network history. Returns reputation signals, not approve/decline decisions. You need your own rules or another vendor to act on the signals. |
| Customization | You configure how to use the signals in your own system. Iovation provides the data; you provide the logic. Some rule-building capability within TruValidate. |
| Consortium data | 6B+ recognized devices. Cross-industry device reputation from banks, lenders, gaming companies, e-commerce merchants. One of the largest device networks. |
| Also does | Part of TransUnion TruValidate, which includes identity verification, document verification, and consumer credit data. Can be bundled. |
| Response time | Real-time (sub-second device lookup) |
| Fraud types | Device-level fraud: multi-accounting, account creation fraud, fraud rings using shared devices, device spoofing. Supplements but does not replace transaction-level fraud scoring. |
| Pricing | Per-query pricing. Volume discounts available. |
| Best for | Adding a device intelligence layer to your existing fraud stack. Account creation flows. Login protection. Supplement to a transaction scoring tool. |
| Not for | Standalone fraud solution. Iovation tells you about the device; it doesn't tell you about the transaction. You need to pair it with a decisioning platform or rules engine. |
Ekata (Mastercard)
What it is: Identity verification APIs that validate phone numbers, email addresses, physical addresses, and IP addresses against authoritative data sources. Acquired by Mastercard in 2021.
How it works: Ekata is a data enrichment API, not a screening tool with its own UI. When a customer enters their information at checkout or signup, you send their email, phone, name, address, and/or IP to Ekata's API. Ekata returns identity signals: is this email address real? How old is it? Does the phone number belong to the person with this name? Is the IP consistent with the billing address? Does this identity network make sense (does the phone/email/address/name combination look legitimate)? You then use these signals in your own rules engine or fraud platform to inform the approve/decline decision.
| Integration | REST API only. No client-side SDK or JavaScript tag. Server-to-server calls. |
| SDKs | None. API-only. Server-side HTTP calls from your backend. |
| Data collected | Ekata does not collect data from your users directly. You send identity data to Ekata (email, phone, name, address, IP), and Ekata returns validation results from its proprietary data sources. |
| Decision method | Identity risk scores + individual field validation results. Ekata does not make approve/decline decisions. It returns signals like "email is valid, 3 years old, matches name" or "phone number is a VoIP number registered 2 days ago." You build rules on these signals. |
| Customization | N/A for the API itself - it returns data, not decisions. Your customization happens in whatever system consumes Ekata's output. |
| Consortium data | Mastercard's identity data + Ekata's proprietary identity graph built from billions of identity data points |
| Response time | Real-time (sub-second API response) |
| Available APIs | Transaction Risk API (email, phone, address, IP validation), Identity Check API (name-to-phone/email matching), Address Risk API, Phone Intelligence API, Email Intelligence API, IP Risk API |
| Fraud types | Synthetic identity detection, identity spoofing, account creation with fake credentials. Does not detect transaction-level patterns on its own. |
| Pricing | Per-query ($0.01-$0.10+ per query depending on API and volume) |
| Best for | Enriching fraud decisions with identity validation. Adding identity signals to an existing fraud platform (Sift, Kount, custom rules). Step-up verification at signup or high-value transactions. |
| Not for | Standalone fraud solution. Ekata provides data; you need another system to make decisions with it. |
Chargeback Guarantee Providers
These vendors approve or decline your orders and reimburse you for fraud chargebacks on orders they approved. You pay a percentage of approved sales for this liability shift. The vendor makes the approve/decline decision - not you.
| Signifyd | Riskified | Forter | ClearSale | Radial | |
|---|---|---|---|---|---|
| Founded | 2011 (San Jose, CA) | 2013 (Tel Aviv). Public: NYSE RSKD | 2013 (Tel Aviv / New York) | 2001 (Sao Paulo, Brazil). Public: B3 CLSA3 | N/A (managed service provider) |
| Integration | JS device fingerprint + REST API | JS beacon + REST API | JS snippet + REST API | JS tag + REST API or platform plugin | Full managed service |
| SDKs / Platform plugins | JavaScript, Shopify, Salesforce Commerce, BigCommerce, Magento, SAP, custom API | JavaScript, Shopify, Magento, BigCommerce, WooCommerce, custom API | JavaScript, Shopify, Salesforce Commerce, Magento, custom API. Pre-built processor connections (Adyen, Stripe, Braintree). | JavaScript, Shopify, Magento, WooCommerce, BigCommerce, VTEX, Salesforce Commerce | Varies by implementation |
| Data collected | Device fingerprint, transaction data, shipping/billing, email, phone, order history. Score (0-1000) considers 100+ signals from order data + Commerce Network. | Device fingerprint, behavioral biometrics (mouse movements, typing patterns via JS beacon), transaction data, account history | Device fingerprint, behavioral biometrics, identity signals, transaction data. Builds persistent buyer profiles across merchants. | Device fingerprint, transaction data, customer data. CPF (Brazilian ID) validation for LATAM. | Depends on implementation |
| Decision method | ML scoring across Commerce Network + auto-approve/decline. Score mapped to ACCEPT, REJECT, or HOLD. | ML models + proprietary network intelligence. Reports 95-98% approval rates for many merchants. | Trusted Identities Network (cross-merchant identity graph) + ML. Binary approve/decline only - no review queue. | ML scoring + 1,500+ human fraud analysts for uncertain cases. Claims 99%+ approval rates due to human review layer. | ML tools + human fraud analyst team |
| Decision speed | Real-time (sub-second at checkout). Pre-auth or post-auth modes. | Real-time (sub-second) | Real-time, sub-400ms. No manual review - fully automated. | ML decisions in real-time; human-reviewed orders: minutes to hours | Varies. Managed service, not pure automation. |
| Guarantee terms | 100% financial guarantee on approved orders. Signifyd pays the chargeback amount + chargeback fee. Covers unauthorized transaction + INR on qualifying orders. | 100% guarantee on approved orders. Includes Dispute Resolve (representment on guaranteed chargebacks). Covers unauthorized + INR with tracking. | 100% guarantee on approved orders. Covers unauthorized + INR on qualifying orders. Forter handles representment. | 100% guarantee on approved orders (Total Guaranteed Protection product). Also offers non-guarantee tier (Total Protection) at lower cost. | Guarantee available as part of managed service |
| Customization | Policies and thresholds configurable. Signifyd makes final guarantee decisions. Pre-auth, post-auth, or shadow mode options. | Limited for guarantee orders. Riskified makes the call. | Limited. Forter makes the call for guarantee. No review queue by design. | Limited. ClearSale makes the call. LATAM/cross-border expertise is a differentiator. | High (managed service is tailored to your business) |
| Also offers | Abuse Prevention (policy, return, promo abuse), Payments Optimization, Account Protection, Checkout Optimization | Auth Rate Enhance, Policy Protect (return/promo/reseller abuse), Account Secure (ATO), PSD2 Optimization | Abuse Prevention, Identity Protection (ATO, fake accounts), Payment Optimization, Trusted Conversions | Chargeback Insurance (standalone), Application Fraud prevention | Full outsourced fraud operations (analysts + technology), order management, fulfillment, customer care |
| Pricing | % of approved GMV. Enterprise contracts with annual commitments. No public rate card. | % of approved GMV. No per-transaction fee on declined orders. Annual enterprise contracts. No public rate card. | % of approved GMV. Enterprise contracts. No public rate card. | % of GMV (guarantee) or per-transaction (non-guarantee). Contact sales. | Custom managed-service pricing |
| Best for | Enterprise retail ($10M+). Apparel, electronics, home goods. | Mid-to-enterprise e-commerce ($5M+). Strong account management. Fashion and luxury verticals. | Enterprise e-commerce. Merchants who want zero manual review overhead. Luxury and high-value retail. | International/cross-border e-commerce. LATAM markets. Merchants prioritizing highest possible approval rates. | Retailers wanting to outsource their entire fraud operation - no internal fraud team needed. |
| Not for | Low-margin businesses where guarantee cost exceeds fraud savings | Merchants wanting full control over approve/decline decisions | Merchants wanting configurable rules or a manual review queue | Merchants needing instant decisions on every order (human review adds delay) | Merchants who want self-service tools and full control |
Guarantee providers make money by being conservative. They decline borderline orders you might have approved. Before celebrating the guarantee, calculate: how much revenue are you losing to their false positives? A 0.5% fraud rate with a 2% false positive rate might cost you more than a 0.8% fraud rate with 0.3% false positives. Ask every guarantee vendor for their decline rate on your traffic during a pilot.
How guarantee providers actually work (the data flow):
- Customer reaches your checkout page
- The vendor's JavaScript collects device and behavioral data from the browser
- Customer submits the order
- Your server sends order details (items, amounts, addresses, email, phone) to the vendor's API
- The vendor's ML model scores the order using device data + transaction data + their merchant network consortium
- The vendor returns approve, decline, or review (some vendors auto-decide; ClearSale may send to human review)
- If approved and you ship, and the customer later files a fraud chargeback, the vendor reimburses you
- If declined, you can either cancel the order or override the decline (but you lose the guarantee on overridden orders)
Chargeback Alerts and Prevention
These stop disputes before they become chargebacks. When a cardholder complains to their bank, you get notified and can refund before the chargeback is filed. This keeps the dispute off your chargeback ratio. These are not fraud detection tools - they don't prevent fraud. They prevent the chargeback.
| Ethoca | Verifi RDR | Verifi CDRN | Order Insight | Consumer Clarity | |
|---|---|---|---|---|---|
| Owner | Mastercard (acquired 2019). Founded 2005 (Toronto). | Visa (acquired 2019). Founded 2005 (Los Angeles). | Visa | Visa | Mastercard |
| How it works | When a cardholder disputes with their issuer, Ethoca notifies you. You have 24-72 hours to refund and prevent the chargeback from posting. Also offers Fraud Insights - confirmed fraud data from issuers fed back to merchants for model training. | You pre-set rules (amount thresholds, reason codes, transaction age, MCC). When a dispute matches your rules, it's auto-resolved before the chargeback is filed. No manual intervention needed. | Manual alerts similar to Ethoca. You receive notification and have 72 hours to decide whether to refund. Being integrated into Visa Resolve Online. | Sends your transaction details (order details, shipping info, delivery confirmation, digital receipt) to the issuer so the cardholder can recognize the charge before disputing. | Sends merchant logos, itemized receipts, and location data to issuers. Helps cardholders recognize charges in their banking app before they call to dispute. |
| Integration | Portal access or API. Most merchants use a reseller (Chargebacks911, Midigator, Chargeback Gurus). | Rules configured via Visa or reseller portal. Stripe has a built-in RDR toggle. | Portal or API via reseller | API integration to send order details (items, shipping, tracking, customer comms, merchant contact info) | API integration to send order details |
| Automation | Manual - you must act on each alert (refund or ignore) | Fully automated once rules are set | Manual - you review each alert and decide | Automated (data flows to issuer without merchant action per-transaction) | Automated |
| Network coverage | All card networks (not just Mastercard). 5,000+ issuers globally. | Visa only (primary) | Visa + some Discover | Visa only | Mastercard only |
| Response window | 24-72 hours | Instant (automated) | 72 hours | N/A (preventive, not reactive) | N/A (preventive, not reactive) |
| Your cost per event | $15-$40/alert (via resellers). Volume discounts available. | Per-resolution fee (typically $15-40) | Per-alert pricing | Varies (via Visa or reseller) - per-query or monthly fee | Varies (via Mastercard or reseller) - per-transaction or monthly fee |
| What you lose | The sale (you refund), but you avoid the chargeback fee and ratio impact | The sale (auto-refunded), but no chargeback fee or ratio impact | The sale (if you choose to refund) | Nothing - prevents the dispute from being filed in the first place | Nothing - prevents the dispute from being filed |
| Best for | Non-US merchants, Mastercard-heavy volume. High-risk verticals (digital goods, subscriptions, travel). Combined with Verifi RDR for maximum coverage. | Any Visa merchant wanting automated dispute deflection. Approaching 0.9% chargeback threshold. High Visa volume. | Merchants wanting to review each dispute before refunding. Being supplanted by RDR for many use cases. | Reducing "I don't recognize this" disputes | Same as Order Insight but for Mastercard |
Most merchants should use both Ethoca and Verifi together to cover both Mastercard and Visa disputes. Buy through a reseller (like Chargebacks911 or Chargeback Gurus) rather than going direct - resellers often bundle both networks and handle the operational workflow for you.
How alert services actually work (the data flow):
- Customer calls their bank and says "I don't recognize this charge" or "I didn't make this purchase"
- Before the bank files a formal chargeback, Ethoca or Verifi notifies you (the merchant)
- Ethoca path: You see the alert in your portal or receive it via API. You have 24-72 hours to refund. If you refund, the dispute never becomes a chargeback. If you don't respond, the bank files the chargeback normally.
- Verifi RDR path: Your pre-set rules evaluate the dispute automatically. If the dispute matches (e.g., amount under your threshold), it's auto-refunded and resolved. No manual action needed.
- Either way, a refund costs you the sale price. A chargeback costs you the sale price + $15-$100 chargeback fee + impact on your dispute ratio (which can trigger monitoring programs if it goes above 0.65%).
Chargeback Management and Representment
These vendors fight chargebacks after they're filed. They compile evidence, submit compelling evidence packages, and handle representment on your behalf. Many also bundle alert services (Ethoca/Verifi).
Full-Service and Analytics Platforms
| Chargebacks911 | Chargeback Gurus | Midigator | |
|---|---|---|---|
| Founded | 2011 (Tampa, FL) | N/A | 2013 - acquired by Mitek 2022 |
| What it is | Full-service chargeback company. Prevention (alerts) + representment + root cause consulting. Core technology: Intelligent Source Detection (ISD) - identifies whether each chargeback is true fraud, friendly fraud, or merchant error. | Full-service prevention + representment + consulting. Boutique, consultative approach. | SaaS chargeback analytics and management platform. Self-service dashboard with strongest analytics in the category. |
| How it works | You give them access to your payment data (processor integration). They manage your Ethoca/Verifi alerts, compile evidence for representment, submit disputes on your behalf, and provide root cause analysis via ISD. Fully outsourced. | Same model - processor integration, alert management, representment, and consulting. More hands-on advisory relationship. They actively help you fix the root causes of your disputes. | You connect your processor(s) and access a dashboard that centralizes all disputes, tracks win rates, identifies root cause patterns, and provides templates for representment. You can do it yourself or add managed services. |
| Integration | Connects to your processor (Stripe, Braintree, Adyen, etc.) via API or portal credentials | Connects to your processor via API or portal credentials | Connects to your processor via API. Self-service dashboard. |
| Alert bundling | Yes - bundles Ethoca + Verifi (RDR/CDRN) into their service. Single integration for both networks. | Yes - bundles Ethoca + Verifi. Handles alert response workflow for you. | Ethoca + Verifi alert aggregation and RDR management available as add-on |
| Representment | Full-service. They compile evidence, write response letters, submit to all networks (Visa, Mastercard, Amex, Discover), track outcomes. Win rate tracking and analytics included. | Full-service. Same evidence compilation and submission. Known for strong evidence quality in travel/hospitality. | Templates and tools for self-service representment. Can add managed representment services. Automated evidence collection workflows. |
| Analytics | Reporting and ISD root cause analysis included. Also offers False Positive Reduction (FPR) to reduce false declines from your fraud filters. | Root cause consulting is a core differentiator | Strongest analytics of the three. Chargeback source identification, reason code distribution, time-based trends, revenue impact calculations, prevention ROI tracking, win rates by reason code. |
| Pricing | Performance-based (% of recovered revenue) or hybrid model. Alert management: per-alert fee. Consulting: retainer or project-based. | Performance-based or monthly retainer | Quote-based SaaS subscription for the platform. Managed services are additional. |
| Best for | Merchants wanting fully outsourced dispute management. High-volume businesses (500+ disputes/month). | Travel, hospitality, subscription businesses. Merchants wanting strategic guidance, not just dispute fighting. | Merchants wanting self-service analytics with visibility into their dispute data. Teams that want to understand why disputes happen, not just fight them. |
| Not for | Merchants with fewer than 50 disputes/month (cost won't justify the service) | Merchants wanting pure automation with no consulting relationship | Merchants wanting 100% hands-off outsourcing |
| Watch out for | Settled with FTC and Florida AG in 2023 over deceptive representment practices (fabricated evidence submission and sham microtransactions to deflate chargeback ratios). Now operating under consent order. Verify current compliance during evaluation. | Smaller team - personalized service is a pro, but capacity may be limited for very high volume | Now part of Mitek Systems. Long-term platform roadmap may shift. |
AI-Automated Representment
These newer vendors automate the representment process using AI - they connect to your data sources, generate evidence packages, and submit disputes without manual intervention.
| Chargeflow | Justt | |
|---|---|---|
| Founded | 2020 (Tel Aviv, Israel) | 2020 (Tel Aviv, Israel) |
| What it is | AI-driven automated representment. Shopify-first. Connects to your e-commerce platform and payment processor, auto-detects chargebacks, generates tailored evidence packages, and submits representment. | AI-driven automated representment with a human expert review layer. Connects to your processor and platform, auto-compiles evidence, then human experts review and enhance before submission. |
| Integrations | Shopify, Stripe, PayPal, Braintree, WooCommerce | Stripe, PayPal, Adyen, Braintree, and others |
| Automation level | Fully automated - AI pulls order data, shipping info, and customer communications, then submits without manual merchant action | AI-powered evidence collection + human expert review for complex disputes |
| Pricing | 25% success fee on recovered chargebacks. No monthly fee. No setup fee. Free plan available for basic analytics and dispute tracking. | Pay-for-success model (fee on recovered chargebacks). No upfront costs. Contact for specific rates. |
| Best for | Shopify merchants wanting hands-off representment with zero upfront cost | Merchants wanting AI automation with a human quality layer for complex disputes |
| Not for | Merchants wanting root cause consulting or prevention strategy | Merchants wanting deep analytics or prevention consulting |
Alert Aggregation
| Chargeblast | |
|---|---|
| What it is | Simple chargeback alert aggregation. Bundles Ethoca + Verifi CDRN alerts into a single platform with easy onboarding. Focused on simplicity - no representment, no consulting, just alert coverage. |
| How it works | Aggregates alerts from both networks. Automated refund processing on alerts. Dashboard for alert tracking. Simple API or dashboard-only options. |
| Integration | Simple API or dashboard-only. Fast onboarding. |
| Best for | Merchants who want alert coverage without the complexity of a full-service chargeback management vendor. Quick setup, minimal overhead. |
| Not for | Merchants who need representment, root cause analysis, or consulting. Chargeblast is alerts only. |
If you have fewer than 50 disputes/month, you can probably handle representment yourself using your processor's tools. Over 50/month, the operational burden justifies a vendor. Over 200/month, you should either outsource or hire a dedicated dispute analyst.
Head-to-Head: Signifyd vs Riskified vs ClearSale
The most common guarantee provider decision. All three guarantee approved orders - the differences are in how they decide, who they're built for, and what else they offer.
| Signifyd | Riskified | ClearSale | |
|---|---|---|---|
| Founded | 2011 (San Jose, CA) | 2013 (Tel Aviv). NYSE: RSKD | 2001 (Sao Paulo, Brazil). B3: CLSA3 |
| Minimum volume | Typically $5M+ (enterprise focus) | Typically $5M+ | Lower minimums, works with mid-market |
| Decision speed | Real-time (sub-second). Pre-auth or post-auth modes available. | Real-time (sub-second) | ML is real-time; uncertain orders go to 1,500+ human analysts (minutes to hours) |
| Approval rate tendency | High, but conservative on borderline orders. Score range: 0-1000. | Reports 95-98% approval rates. Strong account management to tune rates. | Claims 99%+ approval rates - human review catches what ML alone would decline |
| Platform plugins | Shopify, Salesforce Commerce, BigCommerce, Magento, SAP | Shopify, Magento, BigCommerce, WooCommerce | Shopify, Magento, WooCommerce, BigCommerce, VTEX, Salesforce Commerce |
| Extras | Abuse Prevention (policy, return, promo), Payments Optimization, Account Protection, Checkout Optimization | Auth Rate Enhance, Policy Protect (return/promo/reseller abuse), Account Secure (ATO), PSD2 Optimization, Dispute Resolve | Chargeback Insurance (standalone tier), Application Fraud, LATAM payment methods (boleto, PIX) |
| Best for | Enterprise retail ($10M+). Apparel, electronics, home goods. | Mid-to-enterprise e-commerce ($5M+). Merchants who want active account management. Fashion and luxury. | International/cross-border e-commerce. LATAM markets. Merchants who prioritize high approval rates over instant decisions. |
Head-to-Head: Sift vs Kount vs Sardine
The most common fraud platform decision. All three let you control fraud rules - the differences are in what signals they use and what else they cover.
| Sift | Kount | Sardine | |
|---|---|---|---|
| Founded | 2011 (San Francisco) | 2007 (Boise, ID) - acquired by Equifax 2021 | 2020 (San Francisco). Founded by former Coinbase Head of Risk. |
| Integration effort | JS snippet + server-side event API. Server SDKs in Python, Ruby, Java, PHP. Moderate. | JS tag (Device Data Collector) + REST API. Moderate. | JS SDK + mobile SDKs (iOS/Swift, Android/Kotlin, React Native) + REST API. Moderate. |
| Device intelligence | Standard browser/OS/IP fingerprinting via sift.js | 200+ device attributes via DDC. Persistent device ID across sessions. + Equifax consumer identity data | 500+ device signals (hardware, OS, browser, WebGL, audio context, fonts). Deepest fingerprinting of the three. |
| Behavioral biometrics | Limited (session behavior, pages viewed) | None built-in | Full behavioral biometrics (typing speed/rhythm/pressure, mouse dynamics, touch gestures, device tilt, scroll behavior, copy-paste detection) |
| Scoring | Sift Score 0-100 per abuse type. 16,000+ feature signals. Ensemble of ML models. | Omniscore 0-99. ML trained on Identity Trust Global Network data. | ML risk score + individual signal scores. Combines device, behavioral, and consortium signals. |
| Rules engine | Workflows with if/then logic, custom fields, A/B testing (shadow mode), performance metrics | Visual rules builder (Command console) with 200+ data attributes. Velocity, threshold, list, persona, geographic, and device rules. Most configurable of the three. | Visual rule builder with AND/OR logic, velocity rules, list management, shadow mode, rule performance analytics |
| AML/compliance | No | No | Yes - AML transaction monitoring, KYC/KYB, sanctions screening (OFAC, EU, UN, PEP), adverse media screening, SAR/CTR filing |
| Consortium size | 34,000+ sites, 1T+ events processed, 1.6B+ personas mapped | 32B+ annual interactions in Identity Trust Global Network + Equifax consumer database | Cross-client device and behavioral consortium (growing) |
| Also does | Content abuse (spam, scams, fake reviews), promo abuse, PSP merchant risk monitoring, dispute management | Account takeover protection (Kount Control), processor/ISO-level fraud (Kount Central) | Document verification (ID, passport), liveness detection, case management with SAR filing |
| Pricing | Per-event, quote-based. Can get expensive at high event volume since you send page views and account events, not just transactions. | Per-transaction, quote-based. Equifax bundling options available. | Per-API-call, quote-based. Startup-friendly pricing available. |
| Best for | Marketplaces and platforms with content + payment fraud. Businesses tracking fraud across the full user journey (not just checkout). | Merchants wanting hands-on rule control. Gaming, digital goods, ticketing. Teams with a fraud analyst who wants to tune rules. | Fintechs, crypto/web3, neobanks, BNPL, platforms handling money movement. Anyone needing fraud + compliance in one tool or seeing sophisticated device spoofing/ATO. |
Identity Verification
Identity verification vendors split into two categories: passive (data checks, no customer friction) and documentary (ID scan + selfie + liveness). Most merchants should start passive and step up to documentary only for high-risk cases. For a full guide on building a verification program, see KYC & KYB for Fraud Prevention.
Passive Verification
These vendors verify identity using data signals - no document uploads, no selfies, no added friction for the customer.
Socure
Socure is the strongest passive identity platform in the US market, used by 4 of the top 5 US banks. Combines multi-signal scoring (SSN, phone, email, device, address) with industry-leading synthetic identity detection.
- Best for: US-focused businesses with synthetic fraud exposure
- Cost: $0.10-0.50+ per check
- Coverage: US-centric (international coverage is thinner)
- Standout: Synthetic fraud scoring model is best-in-class. Also offers documentary verification.
SentiLink
SentiLink is a synthetic identity scoring specialist. It does one thing - detect synthetic identities - and does it extremely well. Often used alongside other vendors as a focused synthetic fraud layer.
- Best for: Adding synthetic ID detection to an existing stack
- Cost: $0.02-0.15 per check
- Coverage: US only
- Standout: Purpose-built for synthetic fraud. Lightweight integration, fast API.
Prove
Prove verifies identity through phone-centric signals: carrier data, SIM tenure, number history, line type. The customer enters their phone number and that's it - zero friction.
- Best for: Zero-friction verification, mobile-first flows
- Cost: $0.05-0.25 per check
- Coverage: Global (carrier data depth varies by country)
- Standout: Phone number as identity anchor. Detects SIM swaps, burner phones, VoIP.
Ekata (Mastercard)
Ekata provides lightweight identity API checks across phone, email, address, IP, and identity signals. Acquired by Mastercard in 2021. Good for merchants who want to add identity signals without a heavy integration.
- Best for: Quick, lightweight identity enrichment
- Cost: $0.05-0.30 per check
- Coverage: Global
- Standout: Simple API, fast integration, Mastercard data network backing.
Trulioo
Trulioo offers a global identity verification platform covering KYC, KYB, and AML across 195+ countries. Good for merchants with international customer bases who need broad coverage without stitching together regional vendors.
- Best for: Cross-border merchants needing global coverage
- Cost: $0.50-2.00+ per check
- Coverage: 195+ countries
- Standout: Breadth of global data sources. Combined KYC + KYB + AML.
LexisNexis
LexisNexis operates the largest identity data network in the market, combining Emailage (email risk), ThreatMetrix (device), ID Analytics (identity risk), and BehavioSec (behavioral biometrics) into an integrated platform.
- Best for: Enterprise with budget for the full stack
- Cost: $3.00-8.00+ per check
- Coverage: Global (strongest in US, UK, EU)
- Standout: Most comprehensive data, but enterprise pricing. Consortium of tens of billions of transactions.
Processor-Native: Stripe Identity
If you're already on Stripe, start here before evaluating standalone IDV vendors. Stripe Identity handles document capture, selfie matching, and liveness detection through your existing Stripe dashboard. First 50 verifications free, then pay-per-use. No new vendor relationship, no separate contract.
- Best for: Stripe merchants who need occasional documentary verification without a dedicated vendor
- Cost: Pay-per-use (first 50 free)
- Coverage: 100+ countries
- Standout: Zero integration effort if you're already on Stripe. Same dashboard, same billing.
Documentary Verification
These vendors verify government-issued ID documents, match faces via selfie, and check liveness to prevent spoofing.
Sumsub
Sumsub is the furthest-right vendor in the 2025 Gartner Magic Quadrant for Identity Verification (Leader in both Ability to Execute and Completeness of Vision). Comprehensive all-in-one platform covering KYC, KYB, AML screening, and transaction monitoring. Offers a no-code "Unilink" option that generates verification links without any engineering work.
- Best for: Businesses wanting one platform for KYC + KYB + AML
- Cost: $1.35+ per check (Basic plan at $149/month minimum)
- Coverage: 220+ countries
- Standout: No-code verification links (no integration needed). All-in-one compliance platform. 2025 Gartner Leader.
Veriff
Veriff is the most transparent vendor on pricing, with published rates starting at $0.80/check. Offers video-based verification as an option for higher-assurance use cases. ISO 27001 and SOC 2 certified.
- Best for: SMBs wanting transparent, predictable pricing
- Cost: $0.80-1.89 per check (published)
- Coverage: 230+ countries and territories
- Standout: Published pricing (rare in this market). Self-serve signup.
Persona
Persona combines documentary verification with a strong orchestration layer, letting you build multi-step verification flows (passive check, then document, then liveness, then KYB). Developer-friendly with clear APIs.
- Best for: Developers building custom verification workflows
- Cost: $1.50+ per check (Essential plan)
- Coverage: Global
- Standout: Flexible workflow builder. Also handles KYB for marketplace/platform use cases.
Jumio
Jumio has the widest document coverage in the market: 5,000+ document types across 200+ countries. Enterprise-focused with strong regulated-industry adoption.
- Best for: Global businesses needing broad document coverage
- Cost: $1-5+ per check (enterprise pricing)
- Coverage: Global (broadest document library)
- Standout: 5,000+ document types. Strong injection attack detection.
Onfido (Entrust)
Onfido was acquired by Entrust in April 2024, gaining access to Entrust's certificate authority and digital credential infrastructure. Strong AI-based document analysis with workflow builder for multi-step flows.
- Best for: Fintech, regulated industries
- Cost: $0.50-4+ per check
- Coverage: Global (varies by region)
- Standout: Entrust acquisition adds digital credential and certificate authority capabilities.
Incode
Incode is fastest-in-class for documentary verification, averaging 1.5 seconds per check. Strong document coverage for Latin America and growing global footprint.
- Best for: Latin America, speed-sensitive flows
- Cost: $1-4+ per check
- Coverage: Global (strongest LatAm coverage)
- Standout: 1.5-second average verification. Purpose-built for mobile-first UX.
iDenfy
iDenfy supports 3,000+ ID document types from 190+ countries, with facial recognition and liveness detection included. Also offers KYB and AML screening.
- Best for: Mid-market, competitive pricing, combined IDV + KYB
- Cost: $0.50-2+ per check
- Coverage: 190+ countries
- Standout: KYB and AML screening bundled. No device fingerprinting - pair with a device intelligence vendor if needed.
Mitek
Mitek was named a market leader by Datos Insights in January 2026, with 30% year-over-year growth in identity verification. MiPass 4D combines face match, liveness, voice match, and voice liveness into a single biometric. Digital Fraud Defender adds deepfake detection.
- Best for: Enterprise, regulated industries
- Cost: $1-4+ per check
- Coverage: Global
- Standout: MiPass 4D biometric (face + voice + liveness). Datos Insights leader. Strong growth trajectory.
Au10tix
Au10tix runs a fully automated, 100% AI-driven verification pipeline averaging 4-8 seconds per check. Uses a consortium of 60+ companies to detect organized mass attacks and coordinated fraud rings in real time.
- Best for: High-volume businesses needing speed and consortium-based attack detection
- Cost: $1-3+ per check
- Coverage: Global
- Standout: 4-8 second verification. Consortium detects coordinated attacks that single-merchant tools miss. 2025 FinTech Breakthrough Award.
Trulioo
Trulioo offers a global identity verification platform covering KYC, KYB, and AML in 195+ countries. Strong international data coverage makes it a good fit for cross-border merchants.
- Best for: Cross-border merchants needing global coverage
- Cost: $0.50-2.00+ per check
- Coverage: 195+ countries
- Standout: Breadth of global coverage. Combined KYC + KYB + AML suite.
Biometric / Liveness Specialists
iProov
iProov specializes in liveness detection and deepfake prevention. It does not do document verification - it only verifies that the person in front of the camera is real and present. Best-in-class injection attack detection, used by governments and major banks.
- Best for: Adding deepfake/liveness defense to an existing IDV stack
- Cost: $0.50-2+ per check
- Coverage: Global
- Standout: Best injection attack detection in the market. Used by UK Home Office, US DHS.
Combined: Plaid Identity
Plaid's identity verification works differently from pure IDV vendors. When a customer links their bank account, you get account ownership verification, account history, and identity data from the bank's records. Bank data is hard to fake - you can create a synthetic identity with a fabricated SSN, but you can't easily fake years of bank transaction history.
- Best for: Businesses already using Plaid for bank connectivity who want identity signals layered on
- Cost: ~$500/month platform fee + $1-5+ per check
- Coverage: US, Canada (expanding)
- Standout: Strongest identity signal in the market (bank-verified), but highest friction and cost. See detailed analysis.
Key Selection Criteria
When evaluating IDV vendors, focus on these questions:
- Passive or documentary? Start passive. Add documentary as step-up. See the core split.
- Document coverage: Does the vendor support ID types for your customer base?
- Deepfake defense: Does it detect injection attacks, not just presentation attacks (photos/videos)?
- Pricing model: Per-check vs. platform fee? Published vs. "call us"?
- Self-serve? Can you sign up and test without a sales call? (Stripe Identity, Veriff, Sumsub, Persona, iDenfy: yes. Jumio, LexisNexis, Mitek: no.)
- Integration complexity: Simple REST API vs. full SDK? Mobile SDKs available?
- Pass rates vs. manual review: What percentage auto-approves vs. needs human review?
Device Fingerprinting & Intelligence
Device fingerprinting creates unique identifiers for devices accessing your platform, enabling detection of returning fraudsters, multi-accounting, and account takeover attempts even when other identifiers change.
ThreatMetrix (LexisNexis Risk Solutions)
ThreatMetrix, acquired by LexisNexis in 2018, combines hardware and software fingerprinting with proprietary algorithms. It uses consortium data from tens of billions of transactions across the LexisNexis network.
Key strengths:
- Enterprise-focused with on-premises support options
- Integrates with other LexisNexis products (Emailage, BehavioSec)
- Massive consortium data network
- Strong for large financial institutions
Best for: Large FIs already using the LexisNexis stack
SEON
SEON takes a modular approach: use only what you need. The platform includes email, phone, and IP data enrichment plus social media profiling for identity signals.
Key strengths:
- Transparent, explainable risk scoring
- Fast API integration
- Flexible pricing for different volumes
- Social media footprint analysis
Best for: Fintechs and mid-market wanting flexibility
IPQS (IPQualityScore)
IPQS scans 300+ device data points with strong capabilities for bot detection, GPS spoofing detection, and emulator identification.
Key strengths:
- Extensive device data collection
- Strong bot and automation detection
- Fraud network detection
- Competitive pricing at volume
Best for: High-volume screening with bot concerns
Fingerprint (formerly FingerprintJS)
Fingerprint offers an open-source core with a commercial offering, focusing on browser fingerprinting with claimed 99.5% identification accuracy.
Key strengths:
- Lightweight JavaScript implementation
- Developer-friendly documentation and APIs
- Transparent about methodology
- Open-source option for evaluation
Best for: Developers wanting control and transparency
BioCatch
BioCatch is the leader in behavioral biometrics, analyzing mouse movements, keystrokes, and navigation patterns for continuous authentication.
Key strengths:
- Runs silently without user friction
- Continuous authentication (not just point-in-time)
- Strong for account takeover detection
- Detects remote access tools and social engineering
Best for: FIs prioritizing ATO prevention
- SDK vs JavaScript: Mobile apps need SDKs; web can use JS tags
- Cookie-less tracking: Important as browsers phase out third-party cookies
- Cross-browser persistence: Can you identify the same device across Chrome/Safari/Firefox?
- Latency requirements: Real-time auth needs sub-50ms; batch can tolerate more
Ready to evaluate? The Vendor Selection Guide covers RFP questions to ask, POC structure, and how to compare vendor claims against your actual data. The sections below cover consortium data, enterprise platforms, and network tools if you want the full landscape first.
Consortium Data Networks
Consortium networks aggregate fraud signals across participating institutions, enabling detection of fraud patterns that no single organization could identify alone.
LexisNexis Digital Identity Network
LexisNexis operates one of the largest global consortiums with thousands of financial institutions participating. Through acquisitions, they've integrated Emailage (email risk), ThreatMetrix (device), BehavioSec (behavioral), and ID Analytics (identity risk) into a unified platform.
Key strengths:
- Cross-industry fraud signals
- Strong in North America and Europe
- Multiple data types (device, email, phone, identity)
- Continuous model updates from consortium learnings
FICO Falcon Intelligence Network
FICO's Falcon Intelligence Network analyzes hundreds of billions of transactions annually. Tagged fraud data is shared across participating issuers, powering FICO Falcon Fraud Manager models.
Key strengths:
- Focused on card fraud patterns
- Deep integration with Falcon platform
- Continuous model updates based on consortium data
- Decades of issuer relationships
Sift Digital Trust Network
Sift's consortium is more merchant-focused, with tens of thousands of participating sites and apps including major brands like Airbnb and McDonald's.
Key strengths:
- Strong for e-commerce and marketplace fraud
- Real-time signals across the network
- Content and payment fraud coverage
- Good for merchants with similar customer bases
ActimizeWatch (NICE Actimize)
ActimizeWatch provides cross-institutional pattern detection, analyzing transactional data across participating financial service organizations.
Key strengths:
- Part of broader Actimize AML/fraud platform
- Focus on financial institution patterns
- Integrated with case management workflow
Your processor likely already contributes transaction data to one or more consortiums. The question is: are you receiving and acting on the signals back? Check with your processor about what consortium scores or flags are available in your authorization stream.
Enterprise Fraud Management Platforms
Enterprise fraud management (EFM) platforms bundle the full stack: real-time transaction scoring, rules engines, case management, reporting, and increasingly, integrated AML functionality.
FICO Falcon Fraud Manager
FICO Falcon is the market leader for card issuers, with 30+ years in the market protecting billions of card accounts globally. The platform combines real-time scoring, case management, and a rules engine.
Key strengths:
- Proven track record with major issuers
- Falcon 7.0 includes updated UI and enhanced case management
- Patented neural network models continuously updated
- Falcon Compromise Manager for breach detection
- Deep processor integrations
Best for: Card issuers wanting a proven, full-featured solution
NICE Actimize
NICE Actimize offers strong AML and fraud integration, with X-Sight platform for large financial institutions and Xceed for SMBs.
Key strengths:
- Unified fraud + AML platform
- AI-powered investigation automation (2024)
- Full case management and SAR filing
- ActimizeWatch consortium intelligence
Best for: FIs wanting unified fraud + AML
Feedzai
Feedzai takes an AI-native, single-platform approach with its RiskOps platform covering fraud, AML, and case management.
Key strengths:
- Modern AI architecture
- Emphasizes model explainability (TRUST Framework)
- Selected for ECB digital euro fraud prevention pilot
- Strong in Europe, growing in North America
Best for: FIs prioritizing modern AI architecture
SAS Fraud Management
SAS brings deep analytics heritage with highly customizable rules and models.
Key strengths:
- Strong data integration capabilities
- Enterprise-grade scalability
- Highly customizable
- Good for organizations with strong analytics teams
Best for: Organizations with strong analytics teams wanting customization
Forrester and Chartis consistently evaluate vendors like FICO, Feedzai, LexisNexis, NICE Actimize, and SAS in the top enterprise fraud-management segment. Specific rankings (Leader, Strong Performer, etc.) vary by wave, region, and evaluation criteria. Always request the latest analyst reports during vendor evaluation.
Merchant, not an issuer? Skip the enterprise platforms and network tools sections below. Jump to Merchant-Focused Solutions for chargeback guarantees and order screening, or go directly to the Vendor Selection Guide to start evaluating.
Card Network Fraud Tools
Both Visa and Mastercard provide fraud detection tools that are often included in processor fees but underutilized by issuers. These network-level tools see patterns across the entire network that no single issuer could detect.
Visa Tools
Visa Advanced Authorization (VAA)
VAA delivers a real-time risk score with every VisaNet authorization, available to most Visa issuers through their processor.
Key capabilities:
- Trained on global Visa transaction patterns
- Score can be used in authorization rules or case prioritization
- Often included in processor fees. Check if you're using it.
- No additional integration if already on VisaNet
Verifi RDR (Rapid Dispute Resolution)
RDR provides automated pre-chargeback resolution. Merchants set rules (e.g., auto-refund disputes under $X), and qualifying disputes are resolved before a chargeback is filed.
Key capabilities:
- Prevents chargeback from being filed
- Reduces dispute ratio and operational costs
- Visa's preferred system, replacing CDRN for many use cases
- Automated: no manual intervention once rules are set
Verifi CDRN (Cardholder Dispute Resolution Network)
CDRN is a manual alert system with a typical 72-hour response window, covering Visa and some Discover transactions.
Key capabilities:
- US-focused coverage
- Merchant must manually process refunds
- Being supplanted by RDR for many merchants
- Still relevant for merchants wanting review before refund
Order Insight
Order Insight provides transaction details to issuers, helping cardholders recognize legitimate charges and reducing "friendly fraud" from non-recognition.
Key capabilities:
- Integrates with issuer customer service systems
- Reduces "I don't recognize this charge" disputes
- Preventive rather than reactive
Mastercard Tools
Decision Intelligence (DI)
DI provides real-time authorization scoring trained on global Mastercard transaction patterns, analyzing cardholder behavior patterns.
Key capabilities:
- Available through processors
- Network-wide visibility on spending patterns
- Complements issuer-specific models
Decision Intelligence Pro (2024)
The GenAI-enhanced version of Decision Intelligence uses recurrent neural networks to analyze entity relationships.
Key capabilities:
- Mastercard reports up to ~20% improvement in fraud detection at comparable false-positive rates
- Analyzes historical spending patterns and merchant relationships
- Sub-50ms decisioning
- Uses generative AI for pattern recognition
Transaction Fraud Monitoring (TFM)
TFM is acquirer-focused (not issuer), providing pre-authorization risk scores to help acquirers identify risky merchants and transactions.
Ethoca Alerts
Ethoca provides pre-dispute notification to merchants with global coverage, especially strong in EU, Canada, and Asia.
Key capabilities:
- Typical 24-72 hour response window
- Manual process: merchant must act on alert
- Complements Verifi for Mastercard-heavy volumes
Consumer Clarity
Consumer Clarity provides transaction detail enrichment for issuers, including merchant logos, itemized receipts, and location data.
Key capabilities:
- Helps cardholders recognize legitimate charges
- Reduces friendly fraud disputes
- Integrates with issuer customer service
Mastercard Threat Intelligence (2025)
Mastercard's newest offering combines cyber and payment fraud signals, integrating Recorded Future (acquired 2024) threat intelligence.
Key capabilities:
- Card testing detection with real-time alerts
- Digital skimming intelligence
- Merchant threat intelligence
- Payment ecosystem threat reports
Start by auditing what network tools you're already paying for through your processor. Many issuers have access to VAA scores or DI scores but aren't incorporating them into authorization rules or case management workflows. This is often the lowest-hanging fruit for fraud reduction.
Merchant-Focused Solutions
While this guide focuses on issuer needs, understanding merchant-side fraud solutions helps issuers anticipate dispute patterns and collaborate on fraud reduction.
Chargeback Guarantee Providers
Signifyd
Signifyd offers a 100% financial guarantee on approved orders with performance-based pricing (% of approved GMV).
Key strengths:
- Strong in enterprise retail
- Return Abuse Prevention product
- Payment Optimization offerings
Riskified
Riskified provides chargeback guarantee plus Dispute Resolve (representment) with performance-based pricing.
Key strengths:
- Strong account management reputation
- Auth Rate Enhance helps improve authorization rates
- Dispute resolution included
Forter
Forter provides real-time decisioning for enterprise e-commerce through an identity-based approach.
Key strengths:
- Global fraud prevention network
- Strong in luxury and high-value retail
Kount (Equifax)
Kount combines device intelligence with identity verification, with strong presence in gaming and digital goods.
Key strengths:
- Customizable automation and rules
- Good for digital goods and gaming
- Part of Equifax data ecosystem
Both Signifyd and Riskified are highly rated on G2 and similar platforms for fraud detection and customer support. Ratings fluctuate over time, so verify current scores during evaluation. Generally, Signifyd tends to rank slightly higher for large-enterprise retail, while Riskified is often noted for account management quality.
Market Dynamics & Trends (2024–2025)
The fraud prevention market is evolving rapidly. Key trends affecting vendor selection:
GenAI Adoption
- Mastercard Decision Intelligence Pro uses generative AI
- NICE Actimize launched AI-Powered Fraud Investigations (Sept 2024)
- Vendors adding GenAI for alert summarization, case drafting, SAR generation
- Caution: GenAI also enables more sophisticated fraud (deepfakes, synthetic identities)
Deepfake & Synthetic Identity Threats
- iProov reported 704% increase in deepfake face swaps (2024)
- Driving investment in advanced liveness detection
- Behavioral biometrics gaining importance
- Document verification alone no longer sufficient
Market Consolidation
- LexisNexis continues acquisition strategy: Emailage, ThreatMetrix, BehavioSec, ID Analytics all now integrated
- Equifax acquired Kount
- Mastercard acquired Ethoca (2019) and Recorded Future (2024)
- Visa acquired Verifi (2019)
- Trend toward integrated platforms vs. point solutions
First-Party Fraud Focus
- Mastercard First-Party Trust program
- Enhanced compelling evidence requirements (Visa CE 3.0)
- Growing recognition that "friendly fraud" is a major loss driver
- Vendors adding return abuse and policy abuse detection
Regulatory Pressure
- Model governance and explainability requirements increasing
- Fair lending considerations for fraud models
- CFPB BNPL interpretive rule extends Reg Z-style protections
- APP fraud reimbursement rules (UK, expanding)
Next Steps
Evaluating vendors by category?
- Review identity verification vendors - Socure, Onfido, Veriff
- Explore device fingerprinting - ThreatMetrix, SEON, BioCatch
- Understand consortium data - LexisNexis, FICO, Sift
Issuers: Using network tools?
- Audit Visa tools - VAA, Verifi RDR, Order Insight
- Check Mastercard tools - Decision Intelligence, Ethoca
- Ask processor what's included - Often bundled but unused
Merchants: Building fraud stack?
- Start with chargeback guarantees - Signifyd, Riskified
- Follow selection guide - Evaluation process
- Layer complementary solutions - 3-5 tools typical
See Also
- Vendor Selection Guide - RFP questions, POC best practices
- Chargeback Vendors - Alert providers, representment services
- Chargeback Alerts - Ethoca, Verifi details
- Risk Scoring - How risk scoring works
- Data Enrichment - IP, email, phone enrichment APIs
- Device Fingerprinting - Device intelligence
- Identity Verification - Document and biometric checks
- Behavioral Analytics - User behavior analysis
- Issuer Perspective - How issuers think about fraud
- Authorization Decisioning - Real-time auth decisions
- Account Takeover - ATO fraud patterns
- Synthetic Identity - Fabricated identity detection
- Dispute Monitoring - VAMP, ECM programs