What Fraud.net does

Fraud.net (branded FraudNet) is a private, New York-based AI-native enterprise fraud, risk, and compliance platform founded in 2016. The company sells a single unified Enterprise Risk Management Platform comprising three operational modules — Entity Screening, Entity Monitoring, and Transaction Monitoring — supported by shared technology layers including AI & Machine Learning (supervised ML, anomaly detection, graph neural networks, and generative AI within a continuous learning loop), Intelligent Risk Decisioning (no-code rules engine), a Global Anti-Fraud Network (consortium-backed intelligence), a Data Hub for third-party data integration, Data Orchestration, Case Management & Reporting, and Advanced Analytics. The platform scored every authorization in less than 100 milliseconds with 99.9% decision accuracy in 200 milliseconds, and tracks more than 600 fraud schemes across industries, payment types, and channels.

Fraud.net targets enterprise customers in Payments (processors, PSPs, P2P, B2B, cross-border, acquirers, issuers), Financial Services (global, regional, and community banks, credit unions, neo banks, and BaaS providers), Fintechs (BNPL, embedded finance, digital payments, lending), and Commerce (e-commerce, retail, travel, marketplaces, gaming). Named customers include Fareportal, Arvato, Countingup, Bank Australia, Tinka, Pacific Dental, a TSYS-integrated payments provider, a top-5 online travel agency, a leading eCommerce brand, and a global lender, with reported outcomes including $100mm in new sales and 30% fraud reduction for Fareportal within 90 days, 73% fraud-loss reduction and 90% fewer account takeovers for a European BNPL provider, and 98% false-positive reduction for a global payment processor.

The business model combines quote-based enterprise SaaS subscriptions (multi-year contracts) with usage or transaction-based pricing layered on transaction monitoring and professional services revenue from custom ML modeling and Rules-as-a-Service. Distribution runs through direct enterprise field sales anchored by demo-led acquisition, supplemented by an AWS cloud partnership, technology integrations with People Data Labs and TSYS, and public APIs plus a developer portal. The company has raised roughly $5.2 million in disclosed funding across early rounds (most recent priced equity being a $227K Gaingels investment in February 2022 and a $5M Series 2 from Trajectory Ventures in September 2019), suggesting a capital-efficient operating posture. Recent milestones include ISO/IEC 27001:2022 certification, a granted patent on its proprietary anomaly detection methodology (December 2024), product launches of Entity Screening and Policy Monitoring (April 2025), and geographic expansion into the Middle East and APAC (July 2025).

Name

Fraud.net

Legal name

Fraud.net Inc.

Website

https://fraud.net

Company type

Private

Founded year

2016

Operating status

Operating

Headcount range

51–100 employees

Short description

Fraud.net (FraudNet) provides an AI-native enterprise fraud, risk, and compliance platform unifying entity screening, entity monitoring, and real-time transaction monitoring for payments, financial services, fintech, and commerce customers worldwide.

Ownership category

akta.pro rank

Product category

Fraud Detection & Risk Management Software

NAICS

Software Publishers (5132), Custom Computer Programming Services (541511)

SIC

Services-Consumer Credit Reporting, Collection Agencies (7320)

akta.pro primary industry

Borrowing/Lending Risk & Credit Infrastructure (on-chain credit scoring, risk engines, insurance wrappers) (FSAPAEAI)

akta.pro secondary industries

Risk, Fraud & 3DS Orchestration for Payments (FSAGABAL), Risk Scoring, Credit & Fraud Analytics (counterparty/wallet risk) (FSAPAJAF), Payments Fraud & Chargeback Prevention (HDADALAE), Fraud Detection & Transaction Monitoring (FSAMALAA)

Keywords

• Fraud detection software
• AML compliance solutions
• Transaction monitoring platform
• Entity risk management
• KYC screening software

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Enterprise SaaS Subscription: Recurring subscription-based access to the FraudNet Enterprise Risk Management Platform with modular solutions (Entity Screening, Entity Monitoring, Transaction Monitoring, Case Management, Data Orchestration, Advanced Analytics). The demo-driven, contract-based enterprise sales motion indicates multi-year SaaS contracts with pricing scaled to volume, seats, and modules used.
2. Professional Services & Custom ML Modeling: FraudNet offers custom machine learning models, Rules-as-a-Service tuned by fraud experts, onboarding services, and bespoke integrations. A "Get A Demo Or Free Fraud Analysis" CTA signals consultative pre-sales engagements that often convert into implementation and managed-services revenue.
3. Usage / Transaction-Based Pricing Component: Transaction Monitoring and authorization scoring are positioned as real-time, volume-driven services (sub-100ms scoring per authorization), suggesting a usage or transaction-based component layered on top of the platform subscription for high-volume payment processors and issuers.

Pricing tiers

Go-to-market motion2 records

Distribution channels5 records

Marketing channels9 records

Core offering

Fraud.net (branded FraudNet) sells an AI-native Enterprise Risk Management Platform that unifies fraud detection, entity risk, and compliance into a single modular system. The platform is composed of three operational modules — Entity Screening, Entity Monitoring, and Transaction Monitoring — built on a shared AI/ML core combining supervised machine learning, anomaly detection, graph neural networks, generative AI, a no-code rules engine, and a consortium-backed Global Anti-Fraud Network. It targets payments processors, banks, fintechs, and global commerce brands via enterprise SaaS subscriptions with custom ML modeling and professional services.

Product overview

Fraud.net (branded FraudNet) sells a single unified Enterprise Risk Management Platform with an AI-native core composed of three operational modules — Entity Screening, Entity Monitoring, and Transaction Monitoring — supported by seven shared technology layers: AI & Machine Learning (including supervised ML, anomaly detection, graph neural networks, and generative AI within a continuous learning loop), Intelligent Risk Decisioning (no-code rules + ML scoring), the Global Anti-Fraud Network (consortium intelligence), the Data Hub (third-party data integrations), Data Orchestration (unified data layer), Case Management & Reporting, and Advanced Analytics. The platform is positioned for fraud detection and prevention, entity risk, and compliance (KYC, KYB, KYM, KYV, AML, CDD/EDD, sanctions) across payments, financial services, fintech, and commerce customers worldwide, and is generally available via public APIs and a partner/enterprise go-to-market.

Differentiator

Problem solved

Functional benefit

Products and services

• Enterprise Risk Management Platform Modular, end-to-end AI-native fraud, risk, and compliance platform that unifies entity screening, entity monitoring, transaction monitoring, intelligent decisioning, case management, and advanced analytics on a shared data foundation for enterprise fraud and compliance teams.
• Entity Screening Onboarding risk assessment module that screens new customers, businesses, merchants, vendors, and counterparties in real time against global sanctions, PEP, UBO, adverse media, and business data sources, with fuzzy logic matching and automated pass/fail/review decisions, targeted at compliance and onboarding teams in payments, financial services, fintech, and commerce.
• Entity Monitoring Continuous entity risk monitoring module combining ongoing screening, policy monitoring, and AML compliance monitoring with anomaly detection and graph neural networks to identify emerging risks across merchants, counterparties, and partners, targeted at payments and financial services compliance teams.
• Transaction Monitoring Real-time, AI-powered transaction screening and risk scoring module that detects and prevents payment fraud, automates approve/reject decisions, and supports AML compliance across payments, banking, fintech, and commerce transactions, targeted at fraud operations and payments teams.

Quantifiable outcome

• 97% fewer false positives
• +8 more outcomes

Named customers13 records

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability9 records

Feature8 records

Partnerships

Ten partnerships are on record, tiered flagship / core cloud infrastructure partner, strategic data enhancement partner, strategic payments data integration partner, top-tier analyst recognition, top-tier analyst recognition; 2024 award partner, industry analyst recognition and co-marketing / webinar collaboration.

• Amazon Web Services (AWS)flagship / core cloud infrastructure partnerTechnology or IntegrationAWS is a featured cloud infrastructure partner highlighted in the FraudNet footer navigation and in a dedicated case study. The partnership accelerates Fraud.net's ability to train and deploy machine learning models, improving performance, uptime, and fraud detection accuracy for financial institutions worldwide.
• People Data Labsstrategic data enhancement partnerTechnology or IntegrationPeople Data Labs and Fraud.net teamed up to enhance fraud prevention and risk management. The integration enriches Fraud.net's identity and entity data to strengthen KYC, screening, and ongoing monitoring workflows.
• TSYSstrategic payments data integration partnerTechnology or IntegrationA payments provider modernized merchant risk management with seamless TSYS integration via Fraud.net, enabling real-time policy checks, faster boarding, and sharper portfolio-level insights.
• Forrester Researchtop-tier analyst recognitionOthersForrester is referenced as an industry analyst recognizing Fraud.net; logo displayed on the website footer.
• Frost & Sullivantop-tier analyst recognitionOthersFrost & Sullivan is referenced as an industry analyst recognizing Fraud.net; logo displayed on the website footer.
• Gartnertop-tier analyst recognitionOthersGartner is referenced as an industry analyst recognizing Fraud.net; logo displayed on the website footer.
• Datos Insightstop-tier analyst recognition; 2024 award partnerOthersDatos Insights is a key industry analyst partner, having awarded Fraud.net the 2024 Datos Insights Award for Joint AML and Fraud Transaction Monitoring Innovation. Logo displayed on the website footer.
• AMA (Analyst/Market Alliance)industry analyst recognitionOthersAMA is referenced as an industry analyst recognizing Fraud.net; logo displayed on the website footer.
• Bankinglyco-marketing / webinar collaborationStrategic or Co-development PartnerBankingly co-presented with Fraud.net on a 2026 Practitioner Roundtable webinar addressing AI-generated fraud and why rules fall short against modern adversarial AI tactics.
• Euronetco-marketing / webinar collaborationStrategic or Co-development PartnerEuronet co-presented with Fraud.net on a 2026 Practitioner Roundtable webinar on AI-generated fraud detection and entity risk.

Scale indicators12 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• Feedzai: Feedzai is an AI-native risk operations platform providing real-time transaction fraud detection and AML for banks, payment processors, and fintechs — directly competing with Fraud.net's Transaction Monitoring and Entity Screening modules for the same enterprise buyer.
• Sift: Sift offers an AI-driven digital trust and fraud prevention platform for fintech, e-commerce, and online businesses, overlapping directly with Fraud.net's Commerce and Fintech customer segments and its ML-driven risk-scoring approach.
• DataVisor: DataVisor delivers AI-native fraud and AML detection using unsupervised ML and graph analytics, competing head-to-head with Fraud.net's graph neural network and anomaly detection capabilities for banks, payment processors, and fintechs.
• Featurespace: Featurespace provides adaptive behavioral analytics for fraud and AML in payments and banking, directly competing with Fraud.net's Transaction Monitoring module and Intelligent Risk Decisioning layer for financial institution buyers.
• Signifyd: Signifyd offers AI-driven, guaranteed fraud decisions for e-commerce and retail merchants, overlapping directly with Fraud.net's Commerce segment and its automated approve/reject decisioning engine.

Broad incumbents

• FICO: FICO operates the Falcon fraud platform and a broad credit risk and decisioning portfolio serving global banks and card networks, competing with Fraud.net across enterprise financial services but as part of a much wider analytics franchise.
• NICE Actimize: NICE Actimize is a long-standing enterprise financial crime, AML, and fraud suite sold to global banks and financial institutions, overlapping with Fraud.net's Financial Services segment but as part of a broader compliance portfolio.
• SAS Institute: SAS provides enterprise fraud management and anti-money laundering analytics used by global banks, competing with Fraud.net in large financial institution accounts as part of SAS's broader analytics and risk software franchise.

Emerging players

• Alloy: Alloy is an identity decisioning platform for KYC, KYB, and fraud risk used by banks and fintechs, overlapping with Fraud.net's Entity Screening and onboarding risk assessment use cases for fintech and BaaS customers.
• Persona: Persona offers an identity verification and risk decisioning platform with flexible KYC and AML workflows, overlapping with Fraud.net's Entity Screening and onboarding compliance capabilities for fintech, banking, and commerce customers.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/fraud_net
• Facebookfacebook.com/Fraudnet
• LinkedInlinkedin.com/company/fraud-net
• Instagraminstagram.com/fraud.net_official

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds4 records

Investors3 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Fraud.net