Company lists · Data refreshed September 2026
Top 25 Fraud detection analytics companies based in New York, United States
RevenueBase identified 39 fraud detection analytics companies headquartered in New York, United States as of September 2026 and tracks 3,959 professional contacts across them, including 2,368 with verified work emails. Across the United States, New York is the largest hub for this category.
This list covers fraud detection analytics companies 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 25 largest fraud detection analytics companies based in New York, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 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 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 | 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. | |||||
| 5 | 384 contacts → | ||||
Partial 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. | |||||
| 6 | 205 contacts → | ||||
Indirect evidence “Bud Financial (“Bud”) enriches financial data, identifying the likes of merchant, category, location and regularity of transactions, to provide actionable insights and readable…” 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 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 54 contacts → | ||||
Partial 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. | |||||
| 11 | 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. | |||||
| 12 | 42 contacts → | ||||
Indirect evidence “LendingFront uses our proprietary AI to help banks, payments companies, and vertical software providers understand their customers better than ever before, in seconds.” 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 → | ||||
Partial 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 | 22 contacts → | ||||
Indirect evidence “Footprint is the agentic platform that runs your compliance program end-to-end: from watchlist screening to due diligence, KYC and beyond.” 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 | 14 contacts → | ||||
Partial evidence “In a highly regulated domain like healthcare combating fraud is essential as there are a multitude of compliance, regulations, risk management measures, and monetary consequences…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 13 contacts → | ||||
Strong evidence “gini helps VC's automate due diligence and fraud detection in their portfolio investments.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 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. | |||||
| 23 | 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. | |||||
| 24 | 4 contacts → | ||||
Indirect evidence “Glacier provides industry intelligence and risk mitigation for organizations that rely on emerging technologies.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 4 contacts → | ||||
Indirect evidence “Data Derivatives is a boutique consulting firm primarily focused in the financial crimes technology domain.” 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 detection analytics 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 analytics companies.
- Partial evidence
- Its own public description names part of fraud detection analytics 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 analytics 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 39 fraud detection analytics companies based in New York, United States
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Fraud detection analytics companies 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 39 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 analytics 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 New York, United States whose own description of what they do matches “fraud detection analytics 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 analytics 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 analytics companies, 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, 2,368 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.
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 analytics 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 analytics companies are there based in New York, United States?
RevenueBase identified 39 fraud detection analytics companies 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 detection analytics companies?
New York leads the United States with 39 headquartered companies, followed by San Francisco (23) and Austin (10).
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 2,368 verified decision-maker contacts tracked across these 39 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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