Company lists · Data refreshed September 2026
Top 24 Fraud prevention platforms based in New York, United States
RevenueBase identified 34 fraud prevention platforms headquartered in New York, United States as of September 2026 and tracks 4,261 professional contacts across them, including 2,556 with verified work emails. Across the United States, New York is the largest hub for this category.
This list covers fraud prevention platforms headquartered in New York, 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 28, 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 24 largest fraud prevention platforms based in New York, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 780 contacts → | ||||
Strong 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 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 727 contacts → | ||||
Indirect evidence “Riskified (NYSE:RSKD) empowers businesses to unleash ecommerce growth by outsmarting risk.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 687 contacts → | ||||
Indirect evidence “Forter delivers AI decisions built for the commerce moments that matter.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 484 contacts → | ||||
Indirect evidence “HUMAN Security is the global leader in Agentic Trust, the emerging discipline that informs and governs how humans, bots, and AI agents operate online.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 432 contacts → | ||||
Indirect evidence “BioCatch prevents financial crime by recognizing patterns in human behavior.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 384 contacts → | ||||
Strong evidence “Automate smarter risk decisions across the customer lifecycle with Alloy, the AI-powered identity and fraud prevention platform that accelerates onboarding, stops fraud, and…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 100 contacts → | ||||
Indirect evidence “Supervizor is the fastest and most comprehensive way to uncover risk in financial data.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 85 contacts → | ||||
Strong evidence “At NoFraud, we know that preventing fraud isn’t just about avoiding losses but elevating customer experiences.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 54 contacts → | ||||
Strong evidence “Transform your fraud, risk, and compliance management with Fraud.Net's AI-driven platform for enterprises.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 49 contacts → | ||||
Partial evidence “Trustmi is a leading cybersecurity company dedicated to eliminating socially engineered fraud.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 41 contacts → | ||||
Indirect evidence “Heka delivers real-time web intelligence to financial services.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 39 contacts → | ||||
Strong evidence “nSure.ai turns fraud prevention into a profit driver for crypto exchanges and high-risk digital merchants.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 26 contacts → | ||||
Indirect evidence “Baselayer empowers over 2,200 financial institutions and government agencies to trust the small and medium-sized businesses they serve.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 23 contacts → | ||||
Partial evidence “Scams are the fastest-growing fraud threat in banking.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 21 contacts → | ||||
Partial evidence “Fraud teams turn to IronVest to stop traditional and traditional and AI-enabled fraud with intent-aware authentication.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 17 contacts → | ||||
Indirect evidence “Velo is an AI-native transaction security company built to protect revenue across the entire digital journey.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 14 contacts → | ||||
Indirect evidence “Hackers, fraudsters, and other illicit actors don't organize and plan their activities on the blockchain - they do it in the deep and dark web.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 9 contacts → | ||||
Indirect evidence “Founded in 2022, Sedra Solutions is revolutionizing forensic accounting for businesses and governments with its advanced algorithms, AI, and Machine Learning-driven software…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 8 contacts → | ||||
Indirect evidence “Polyguard protects businesses from deepfake-powered attacks that exploit new vulnerabilities in hiring and help-desk workflows, through continuously verifying both authentic…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 8 contacts → | ||||
Indirect evidence “The Novus business model is a concept drawn from the experiences of the founders with over 30 years of global experience that spans 3 continents and over 12 countries.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 6 contacts → | ||||
Strong evidence “Roundtable is the modern survey fraud and bot detection platform for market research agencies and panels.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 3 contacts → | ||||
Indirect evidence “About Us AMC Partners, Inc.” Source: RevenueBase Database · checked Sep 28, 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 prevention platforms. 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 prevention platforms.
- Partial evidence
- Its own public description names part of fraud prevention platforms, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name fraud prevention platforms. 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 24 of 34 fraud prevention platforms based in New York, United States
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Fraud prevention platforms based in New York, United States at a glance
As of Sep 28, 2026Companies by employee count
Email recency for this list is measured across the whole United States list rather than for New York, so it is reported there. Company counts and contact totals on this page are exact for New York, over 34 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 prevention platforms, 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 New York, United States whose own description of what they do matches “fraud prevention platforms”. 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 prevention platforms), 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 prevention platforms, and records with no verified work email. Companies headquartered outside New York 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, 2,556 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 28, 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.
Fraud prevention platforms by metro in the United States
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 prevention platforms, 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 prevention platforms are there based in New York, United States?
RevenueBase identified 34 fraud prevention platforms headquartered in New York, 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?
Feedzai, headquartered in New York, tops this list with the largest team on record.
Which city in the United States has the most fraud prevention platforms?
New York leads the United States with 34 headquartered companies, followed by San Francisco (29) and Miami (13).
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 2,556 verified decision-maker contacts tracked across these 34 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 28, 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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