Fraud Prevention
Software Data
ThreatMetrix, Kount, Forter, Signifyd, NICE Actimize & more fraud prevention platforms segmented by platform, role, geography and intent.
- Verified fraud prevention contacts
- GDPR & CCPA-conscious B2B data
- CSV & Excel delivery for CRM & ABM
- Free 100-record sample list
Request Your Fraud Prevention Data Sample
100 verified fraud prevention contacts. Delivered in 24 hours.

What Is Fraud Prevention Software Data?
Fraud prevention software data is a technographic database of companies using platforms that detect, prevent and manage fraud across ecommerce, payments, digital identity, account creation, transactions and customer journeys. The dataset helps you identify organisations using fraud prevention platforms such as ThreatMetrix, Kount, Forter, Signifyd, NICE Actimize and related fraud analytics or transaction risk tools.
- 30+ CRM platforms covered
- 95% deliverability guaranteed
- Direct dials & verified emails
- Refreshed every 90 days
- GDPR & CCPA compliant
- Ready-to-import CSV / CRM
- Module-level segmentation
- Free replacement guarantee
- Fraud detection & chargeback prevention data
- Digital identity risk & account takeover coverage
- Payment protection & transaction monitoring
- ThreatMetrix, Forter & NICE Actimize contacts
- Platform-level technographic context
- GDPR & CCPA-conscious B2B data
- Ready-to-import CSV / CRM
- Free replacement guarantee
Every fraud prevention record. Fully enriched.
Each record in our ecommerce fraud prevention database is structured for sales, marketing, CRM, ABM, fintech outreach, ecommerce campaigns and market research workflows.
Contact Name
Full name of the relevant business contact
Job Title
Fraud Risk Manager, Head of Fraud, VP Risk, Ecommerce Director, Payments Lead, CISO or related role
Business Email
Verified corporate email address
Phone
Available business phone or direct dial
Company Name & Website
Organisation using the fraud prevention platform and domain
Platform Used
ThreatMetrix, Kount, Forter, Signifyd, NICE Actimize or related fraud tool
Fraud Category
Ecommerce fraud, payment fraud, identity risk, transaction monitoring, account abuse or financial crime
Industry
Business sector or vertical
Revenue & Employee Size
Company size range and revenue category where available
Location
City, state, country and region
LinkedIn URL
Professional profile where available
Built for fraud-focused revenue teams
If your buyers manage fraud risk, payment security or ecommerce protection, this database is your unfair advantage.
- Cybersecurity & fraud prevention vendors
- Fintech & payments technology companies
- Ecommerce technology & platform vendors
- Identity risk & compliance solution providers
- MSPs offering fraud & financial crime services
- ABM & demand generation teams
- Sales teams targeting fraud risk ICPs
- Market research & competitive intelligence teams
15+ fraud prevention tools. One database.
Filter by fraud prevention platform, region or company size and pull a clean list in minutes.
| Fraud Prevention Data | Verified Contacts | Companies | Coverage | Action |
|---|---|---|---|---|
CLClickCeaseFraud Prevention #01 | 400 | 80 | Global | Get sample → |
MAMaxMindFraud Prevention #02 | 7.5k | 1.5k | Global | Get sample → |
SISignifydFraud Prevention #03 | 3.5k | 705 | Global | Get sample → |
VIVisa ProtectFraud Prevention #04 | 2.2k | 449 | Global | Get sample → |
AUAuthorize.net Fraud Detection SuiteFraud Prevention #05 | 1.6k | 328 | Global | Get sample → |
ARArcot (Broadcom)Fraud Prevention #06 | 1k | 208 | Global | Get sample → |
SISiftFraud Prevention #07 | 9.1k | 1.8k | Global | Get sample → |
RIRiskifiedFraud Prevention #08 | 375 | 75 | Global | Get sample → |
KOKountFraud Prevention #09 | 1.1k | 226 | Global | Get sample → |
SASAS Fraud ManagementFraud Prevention #10 | 465 | 93 | Global | Get sample → |
FIFICO Falcon PlatformFraud Prevention #11 | 330 | 66 | Global | Get sample → |
FEFeaturespaceFraud Prevention #12 | 320 | 64 | Global | Get sample → |
EXExperian Fraud & IdentityFraud Prevention #13 | 165 | 33 | Global | Get sample → |
THThreatMetrix (LexisNexis Risk)Fraud Prevention #14 | 1.9k | 371 | Global | Get sample → |
DADataDomeFraud Prevention #15 | 8k | 1.6k | Global | Get sample → |
Questions, answered honestly
Still curious? Our team replies within 4 business hours.
Talk to an expertFind more fraud prevention data the way you sell
Switch between tabs to slice the database by industry, geo, size, role, tech or intent.
Request a Free Sample of Fraud Prevention
Software Data
Get a free sample of verified fraud prevention contacts with company details, platform usage, fraud risk decision-maker information and CRM-ready fields.
Best Fit Use Cases and Campaign Guide for Fraud Prevention Software Data
This dataset is best suited for B2B teams that need platform-specific fraud, ecommerce risk, payment risk or financial crime targeting.
Best Fit Use Cases for Fraud Prevention Software Data
It is especially useful for:
- fraud prevention lead generation
- ecommerce fraud prevention campaigns
- payment fraud technology outreach
- identity risk and account takeover campaigns
- chargeback management campaigns
- fraud analytics software prospecting
- fraud risk manager outreach
- fintech and regtech campaigns
- ABM segmentation
- CRM enrichment
- partner recruitment
- market research and territory planning
If your offer depends on knowing which fraud prevention platform a company uses, this dataset gives your team a more relevant starting point.
How to Use Fraud Prevention Software Data for Campaigns
Step 1: Select Your Fraud Category. Choose whether you want to target ecommerce fraud prevention, payment fraud, account takeover prevention, digital identity risk, transaction monitoring, chargeback protection, fraud analytics or enterprise fraud management users.
Step 2: Select Your Platforms. Filter by platforms such as ThreatMetrix, Kount, Forter, Signifyd, NICE Actimize, Sift, Riskified, Feedzai or related fraud prevention tools.
Step 3: Define Your Buyer Roles. Choose the contacts most relevant to your offer, such as Head of Fraud, Fraud Risk Manager, VP Risk, Ecommerce Director, Payments Lead, Trust and Safety Manager, CISO, Compliance Manager or Operations Lead.
Step 4: Apply Company Filters. Segment the data by industry, employee size, revenue range, geography and company type.
Step 5: Launch Targeted Outreach. Use the final dataset for cold email, calling, LinkedIn outreach, ABM campaigns, partner recruitment, CRM enrichment, fraud risk campaigns or market research.
Select your fraud category and platforms
Choose whether you want to target ecommerce fraud prevention, payment fraud, account takeover prevention, digital identity risk, transaction monitoring, chargeback protection, fraud analytics or enterprise fraud management users. Filter by platforms such as ThreatMetrix, Kount, Forter, Signifyd, NICE Actimize, Sift, Riskified, Feedzai or related fraud prevention tools.
Define buyer roles and company filters
Choose contacts most relevant to your offer, such as Head of Fraud, Fraud Risk Manager, VP Risk, Ecommerce Director, Payments Lead, Trust and Safety Manager, CISO, Compliance Manager or Operations Lead. Then segment the data by industry, employee size, revenue range, geography and company type.
Verified fraud prevention contacts
Data quality is critical for fraud prevention outreach. A wrong platform signal, outdated job title or invalid email can reduce campaign performance and waste sales time. Use the final dataset for cold email, calling, LinkedIn outreach, ABM campaigns, partner recruitment, CRM enrichment, fraud risk campaigns or market research.
Why Fraud Prevention Platform Data Matters
Fraud prevention buyers are not generic IT contacts. They are usually responsible for reducing transaction fraud, stopping account abuse, preventing chargebacks, improving approval rates, protecting customer journeys and managing operational risk.
A company using ThreatMetrix may be focused on digital identity, device intelligence, fraud risk scoring and account authentication.
A company using Kount may be managing ecommerce fraud, account creation risk, card-not-present fraud or payment protection.
A company using Forter may be focused on digital commerce decisions, identity trust, payment optimisation and fraud prevention.
A company using NICE Actimize may be managing fraud across banking, payments, financial crime and enterprise risk environments. When your campaign knows which platform a company uses, you can speak directly to their risk environment, transaction workflow, identity challenge or integration opportunity instead of sending a generic pitch. This is why fraud analytics platform users email list data gives your team platform context before the first campaign begins.
