Company lists · Data refreshed September 2026
Top 20 Fraud detection AI companies based in Australia
RevenueBase identified 34 fraud detection AI companies headquartered in Australia as of September 2026 and tracks 887 professional contacts across them, including 297 with verified work emails and 68 with mobile numbers. Sydney is the largest hub.
This list covers fraud detection AI companies headquartered in Australia, 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, how directly it supports the match, and when it was last checked. Data refreshed September 3, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase SmartSearch, 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 20 largest fraud detection AI companies based in Australia
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 294 | ||||
“Eftsure is the global market leader in payment fraud prevention.” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 2 | 78 | ||||
“IDVerse®, part of LexisNexis® Risk Solutions is a cutting-edge document authentication and biometric verification solution that helps you confidently approve trusted transactions…” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 3 | 74 | ||||
“Beforepay Group (ASX: B4P) leverages advanced artificial intelligence, machine learning and sophisticated analytics to deliver safe and affordable financial products that empower…” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 4 | 60 | ||||
“Ingenuous helps organisations make fast, confident, and compliant decisions in a digital-first world.” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 5 | 41 | ||||
“Fortiro is a FinTech company specialising in automated document fraud detection and financial verification.” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 6 | 35 | ||||
“Darwinium is the AI Fraud Prevention Company, built to outpace AI-driven fraud in the agentic era.” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 7 | NeurocomPartial evidence | 28 | |||
“With three decades of industry experience, Neurocom is a leading, data-driven solution provider offering comprehensive fraud and risk management solutions to payment and financial…” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 8 | 24 | ||||
“Daisee is an Australian AI software company that builds cutting edge AI applications for business.” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 9 | 17 | ||||
“RocketBoots superpowers in-person service by transforming video into performance improvement using AI.” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 10 | 16 | ||||
“Apate.ai is an AI-powered scam disruption and intelligence platform that protects financial institutions, telcos, and crypto exchanges by deploying advanced conversational AI bots…” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 11 | 15 | ||||
“Cyberoo.AI is focused on one problem: how to turn fragmented scam signals into timely, defensible action.” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 12 | 13 | ||||
“SeeEverything is a purpose-built AI assurance platform that helps financial institutions build positive risk cultures and improve customer outcomes.” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 13 | 11 | ||||
“Neo Analytics is a leading financial technology innovator, specialising in AI, machine learning, customer intelligence, and digital data enablement to drive actionable insights…” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 14 | 10 | ||||
“Vericent, an Australian technology innovator, is redefining enterprise intelligence with a next-generation AI platform built on advanced integration, automation, and orchestration…” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 15 | 8 | ||||
“DHI-AI optimises the work of stock exchange compliance teams, regulators, and financial analysts by eliminating the need to manually review large volumes of disparate information.” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 16 | 7 | ||||
“ARevolution is a global innovation leader in Financial Crime Intelligence.” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 17 | 5 | ||||
“Cybertrace is an intelligence-led cyber investigations company with a mission to fight global cybercrime and contribute to a safer world using innovative technologies such as…” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 18 | 2 | ||||
“Introducing Megalith: Pioneering the Future of Finance with AI-Driven Innovation Megalith is at the forefront of the fintech revolution, harnessing the power of Artificial…” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 19 | 2 | ||||
“ScreenlyyID is a global fraud management company that specializes in providing data and technology solutions for instant identity verification, Know Your Customer (KYC) and Anti…” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
| 20 | 2 | ||||
“NetMap Analytics is an Australian privately held company, with an international reputation for highly specialised data analysis services and state-of-the-art visual tools.” Source: company website · checked Sep 3, 2026Thanks. The Data Team will review it. | |||||
Showing 20 of 34 fraud detection AI companies based in Australia
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Fraud detection AI companies based in Australia at a glance
As of Sep 3, 2026Companies by employee count
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 AI companies, so some rows will be adjacent to the category rather than pure plays. The description and evidence 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 SmartSearch, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in Australia whose own description of what they do matches “fraud detection AI companies”. Matching reads each company's description, not its industry code or its name.
- What we exclude
- Companies whose own description does not clearly place them among fraud detection AI companies, and records with no verified work email. Companies headquartered outside Australia 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 an evidence 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, 297 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 3, 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
How many fraud detection AI companies are there based in Australia?
RevenueBase identified 34 fraud detection AI companies headquartered in Australia 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?
Eftsure, headquartered in North Sydney, tops this list with the largest team on record.
Which city has the most fraud detection AI companies?
Sydney leads with 15 headquartered companies, followed by Melbourne (5) and North Sydney (3).
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 297 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 3, 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 SmartSearch, 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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