With cyber fraud accelerating and finance teams managing complex vendor ecosystems, protecting B2B payments from redirection and impersonation has never been more critical. Modern financial fraud prevention software gives CFOs, AP leaders, and treasury teams stronger controls without relying on outdated manual processes.
Choosing the right fraud prevention software for your finance team
CFOs, accounts payable (AP) managers, and treasury leaders are under pressure to secure payments while ensuring continuity, compliance, and audit readiness. Traditional controls like call-back verification and vendor spreadsheets struggle to keep up with:
- third-party risks and evolving social engineering
- hybrid work environments
- increased regulatory scrutiny
- growing complexity in digital vendor payments
| Software | Best for | Key strengths | Limitations | Pricing model |
|---|
| Eftsure | Mid-to-large B2B enterprises validating vendor payments | Vendor verification, payment controls, AP workflows | B2B finance focus (not consumer fraud use cases) | Contact sales |
| SAS Fraud Management | Enterprise banks and card networks | Real-time fraud detection models and scoring | Primarily financial institution use cases | Subscription / enterprise |
| FICO Falcon Fraud Manager | Card fraud programs across channels | Consortium data, behavioural analytics | Not AP- or vendor-payment-led | Enterprise / custom |
| Feedzai | Banks, fintechs, regulated payment environments | Fraud + AML + risk intelligence platform | More complex than point tools | Enterprise / custom |
| Sift | Marketplaces and digital commerce | Behavioural analytics and account takeover prevention | Not built for vendor master controls | Subscription |
| Kount | E-commerce and mid-market sellers | Identity trust, device intelligence | Commerce-led vs finance-led | Subscription |
| Riskified | High-volume e-commerce (travel, retail, luxury) | Chargeback guarantee model | Primarily card-not-present fraud | Revenue-based / custom |
| SEON | Mid-sized e-commerce and fintech teams | Fast setup, rules engine, digital footprinting | Not an end-to-end finance platform | Tiered pricing |
| ClearSale | Cross-border commerce and merchants | Hybrid AI + manual review | Merchant-focused workflows | Custom |
How we evaluated these solutions
This list is designed to support shortlisting and evaluation, not to promote any single vendor. Solutions are included based on relevance to financial fraud prevention, fraud detection coverage, risk controls, integration fit, and suitability for finance-led workflows.
Vendor section depth varies intentionally. Some providers offer end-to-end payment controls, while others provide narrower fraud detection software capabilities for banking, cards, or digital commerce.
1. Eftsure
Eftsure is a real-time B2B payment fraud prevention platform designed for finance teams. It helps validate vendor details across onboarding, invoice approval, and payment release using a continuously updated database and multi-factor verification.
Strengths include vendor bank detail controls, AP-friendly workflows, and verification designed around the highest-risk finance moments, especially vendor onboarding and bank detail change requests. This makes it relevant for organisations with frequent vendor turnover and decentralised approval structures.
Limitations are mainly about fit. Eftsure is purpose-built for B2B vendor payments rather than consumer or card fraud detection.
Best for: mid-to-large enterprises that need vendor verification controls before payment.
2. SAS Fraud Management
SAS Fraud Management is designed for large financial institutions and uses AI and behavioural models to detect fraud in real time.
Strengths include real-time scoring and enterprise-grade orchestration.
Limitations include that it is generally oriented toward banking and card fraud rather than AP-led vendor payment controls.
Best for: enterprise banks and card networks.
3. FICO Falcon Fraud Manager
FICO Falcon is a long-standing fraud detection platform that uses neural networks and consortium data for adaptive analytics.
Strengths include cross-channel scoring and a mature fraud model ecosystem.
Limitations include that it is primarily a card fraud product and is not designed around vendor change controls.
Best for: card fraud programs operating across channels.
4. Feedzai
Feedzai is an AI-native fraud, AML, and risk intelligence platform used by banks and fintechs. It supports contextual scoring and multi-layered protection.
Strengths include unified fraud detection and AML monitoring.
Limitations include that it is typically heavier to implement than narrower fraud detection tools.
Best for: financial institutions and regulated fintechs.
5. Sift
Sift prevents payment fraud, account takeover, and abuse using real-time behavioural analytics.
Strengths include behavioural modelling and device intelligence.
Limitations include that it is built for digital commerce environments rather than AP and treasury workflows.
Best for: marketplaces, online retailers, and digital service platforms.
6. Kount
Kount focuses on identity trust and device analytics and is designed to stop fraudulent transactions pre-authorisation.
Strengths include identity scoring and transaction risk signals.
Limitations include that it is commerce-led rather than finance-led.
Best for: e-commerce and mid-market digital sellers.
7. Riskified
Riskified is known for its chargeback guarantee model and takes on liability for fraudulent transactions it approves.
Strengths include a liability-backed approach and strong performance in high-volume retail.
Limitations include that it is primarily designed for card-not-present fraud.
Best for: high-volume e-commerce in travel, retail, and luxury.
8. SEON
SEON is a modular fraud detection tool that is easy to deploy and supports custom rules and digital footprinting.
Strengths include flexibility and fast implementation.
Limitations include that it is not an end-to-end fraud prevention platform for finance teams.
Best for: mid-sized e-commerce and fintech companies.
9. ClearSale
ClearSale combines AI screening with manual expert reviews to optimise approval rates while reducing fraud risk.
Strengths include hybrid decisioning and cross-border support.
Limitations include that workflows are merchant-led rather than vendor-payment-led.
Best for: cross-border commerce and APAC or Latin American merchants.
Trends in AI and fraud prevention
Artificial intelligence and machine learning are transforming how fraud is detected and stopped. Tools that once relied on static rules now use dynamic behavioural models, device intelligence, and network-level risk signals. Fraud losses are expected to exceed $362 billion globally by 2028, driving enterprise demand for more proactive risk management.
Evaluation checklist for finance professionals
Before selecting a fraud prevention solution, finance leaders should ask:
- How easily can this integrate with our ERP and AP systems?
- Does it cover the types of fraud we are most exposed to?
- What level of vendor verification does it offer?
- Does it reduce reliance on manual call-back processes?
- Is there audit trail visibility and compliance reporting built-in?
Book a demo to see how Eftsure protects your AP team
Eftsure helps finance teams stop invoice redirection and vendor impersonation before payment, without slowing down workflows.
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FAQs: financial fraud prevention software
What is the best financial fraud prevention software for large enterprises?
The best platform depends on where your fraud exposure sits. Large enterprises typically need strong vendor onboarding controls, real-time monitoring, integration with ERP and payment systems, and workflows that reduce reliance on email-based approvals. The best-fit option is usually the one that combines detection with prevention controls that stop fraud before funds move.
What is the difference between fraud prevention software and fraud detection software?
Fraud detection software focuses on identifying suspicious activity after it appears in data, transactions, or behaviour signals. Fraud prevention software includes controls designed to stop fraud earlier, such as account verification, approval workflows, and payee validation. Many modern platforms include both, but the balance varies depending on the vendor’s focus.
Which features matter most when evaluating financial fraud prevention platforms?
For finance teams, the most important features usually include verification strength, auditability, integration effort, and operational fit. Look for controls that reduce manual handling of bank detail changes, support role-based approvals, and provide clear evidence trails. Real-time alerts can help, but only if they connect to enforceable payment controls.
How do you choose fraud prevention software for a finance-led workflow?
Start by mapping the highest-risk workflows, such as vendor onboarding, bank detail changes, invoice approvals, and payment release. Then evaluate platforms based on coverage, implementation complexity, and how well they fit your existing ERP, AP, and treasury stack. The best choice is typically the one that reduces fraud risk without adding heavy operational friction.
Which platforms are best for payment fraud detection and prevention?
Payment fraud risk is often driven by bank detail changes, invoice manipulation, and approval workflow compromise. The strongest platforms combine validation, monitoring, and enforceable controls that sit close to the payment process. When comparing vendors, focus on whether the platform prevents redirection before payment, not just whether it flags anomalies after the fact.
