Company lists · Data refreshed September 2026
Top 25 Fraud detection for payments companies based in the United States
RevenueBase identified 163 fraud detection for payments companies headquartered in the United States as of September 2026 and tracks 9,941 professional contacts across them, including 4,931 with verified work emails. New York is the largest hub.
This list covers fraud detection for payments companies headquartered in the United States, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 16, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 25 largest fraud detection for payments companies based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 1,443 contacts → | ||||
Indirect evidence “NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions, as well as government…” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 2 | 780 contacts → | ||||
Indirect evidence “Feedzai powers trust in global finance with our AI-native financial crime prevention platform, protecting the moments where money matters most at massive scale.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 3 | 772 contacts → | ||||
Partial evidence “Accertify enables commerce by doing one thing extraordinarily well: pinpointing fraud.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 4 | 727 contacts → | ||||
Indirect evidence “Riskified (NYSE:RSKD) empowers businesses to unleash ecommerce growth by outsmarting risk.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 5 | 687 contacts → | ||||
Indirect evidence “Forter delivers AI decisions built for the commerce moments that matter.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 6 | 432 contacts → | ||||
Indirect evidence “BioCatch prevents financial crime by recognizing patterns in human behavior.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 7 | 386 contacts → | ||||
Partial evidence “SEON is the AI command center for fraud prevention and AML compliance.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 8 | 305 contacts → | ||||
Strong evidence “ThreatAdvice is a leading provider of Cybersecurity solutions and Fraud Detection.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 9 | 297 contacts → | ||||
Strong evidence “Eftsure is the global market leader in payment fraud prevention.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 10 | 288 contacts → | ||||
Partial evidence “Sift is the leading fraud prevention platform delivering digital trust to 700+ global brands, allowing them to grow confidently by stopping fraud while enabling excellence in…” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 11 | 260 contacts → | ||||
Indirect evidence “PLUS TI is a leading software development firm that provides solutions to prevent financial crime.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 12 | 246 contacts → | ||||
Indirect evidence “ThetaRay provides the end-to-end risk decisioning infrastructure for financial crime compliance, built for enterprises that refuse to trade risk management for business growth.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 13 | 186 contacts → | ||||
Indirect evidence “Your business has unlimited growth potential.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 14 | 170 contacts → | ||||
Partial evidence “DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 15 | 170 contacts → | ||||
Partial evidence “SHIELD is a device-first fraud intelligence platform built on the world’s most persistent device identification technology across applications and platforms.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 16 | 162 contacts → | ||||
Indirect evidence “SentiLink, the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic…” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 17 | 125 contacts → | ||||
Indirect evidence “EverC, now a part of G2 Risk Solutions, is focused on powering growth for the online seller ecosystem.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 18 | 112 contacts → | ||||
Partial evidence “Pipl is an AI company that helps global enterprises make better fraud decisions.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 19 | 103 contacts → | ||||
Strong evidence “Informativ is the leading provider of fraud prevention, compliance, credit, and payments technology delivering a seamless, integrated platform for automotive and consumer finance…” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 20 | 100 contacts → | ||||
Indirect evidence “Supervizor is the fastest and most comprehensive way to uncover risk in financial data.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 21 | 98 contacts → | ||||
Indirect evidence “The founders and management of IDI have been in the data fusion industry for the last two decades.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 22 | 92 contacts → | ||||
Strong evidence “Chargeblast is an industry-leading fintech platform that integrates with payment processors to reduce chargeback rates and fight fraud.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 23 | 87 contacts → | ||||
Partial evidence “ThreatMark is the fraud disruptor of the future.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 24 | 86 contacts → | ||||
Partial evidence “Quantifind helps some of the world’s biggest banks catch money laundering and fraud.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 25 | 85 contacts → | ||||
Partial evidence “At NoFraud, we know that preventing fraud isn’t just about avoiding losses but elevating customer experiences.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: fraud detection for payments companies. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names fraud detection for payments companies.
- Partial evidence
- Its own public description names part of fraud detection for payments companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name fraud detection for payments companies. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 25 of 163 fraud detection for payments companies based in the United States
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Fraud detection for payments companies based in the United States at a glance
As of Sep 16, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for United States, so it is reported there. Company counts and contact totals on this page are exact for United States, over 163 companies.
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among fraud detection for payments companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in the United States whose own description of what they do matches “fraud detection for payments companies”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names fraud detection for payments companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among fraud detection for payments companies, and records with no verified work email. Companies headquartered outside United States are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 4,931 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 16, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names fraud detection for payments companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many fraud detection for payments companies are there based in the United States?
RevenueBase identified 163 fraud detection for payments companies headquartered in the United States as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Nice Actimize, headquartered in Hoboken, tops this list with the largest team on record.
Which city has the most fraud detection for payments companies?
New York leads with 21 headquartered companies, followed by San Francisco (15) and Wilmington (5).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 4,931 verified decision-maker contacts tracked across these 163 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 16, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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