With cyber fraud accelerating and finance teams managing complex vendor ecosystems, protecting B2B payments from redirection and impersonation has never been more critical. Modern fraud prevention software offers real-time controls for CFOs and AP leaders — without relying on outdated manual processes.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
A real-time B2B payment fraud prevention platform designed specifically for finance teams. Eftsure verifies vendor details at every stage — onboarding, invoice approval, and payment — using a continuously updated database and multi-factor authentication.
- Best for: mid-to-large enterprises with frequent vendor turnover
- Key features: vendor validation, payment verification, real-time transaction monitoring
- Finance benefit: reduces risk of invoice redirection and BEC while streamlining AP workflows
Designed for large financial institutions, SAS uses AI and behavioral models to detect fraud in real time with minimal false positives.
- Best for: enterprise banks and card networks
- Key features: real-time scoring, fraud models, workflow orchestration
- Finance benefit: precision detection with <1% false positives
A long-standing solution in the card fraud space, FICO Falcon leverages neural networks and consortium data for adaptive analytics.
- Best for: card fraud control across channels
- Key features: behavioral analytics, scoring engine
- Finance benefit: cross-channel fraud protection and auditability
An AI-native fraud, AML, and risk intelligence platform used by banks and fintechs. Feedzai enables contextual scoring and multi-layered protection.
- Best for: financial institutions and regulated fintechs
- Key features: ML scoring engine, AML monitoring, customer profiling
- Finance benefit: unified risk ops and regulatory compliance
Sift prevents payment fraud, account takeover, and fake content using real-time behavioral analytics tailored for digital businesses.
- Best for: marketplaces, online retailers, digital service platforms
- Key features: device intelligence, behavioral scoring, chargeback protection
- Finance benefit: reduces fraud losses and preserves customer trust
A fraud platform focused on identity trust and device analytics, Kount stops fraudulent transactions pre-authorisation.
- Best for: e-commerce, mid-market digital sellers
- Key features: device fingerprinting, velocity checks, identity scoring
- Finance benefit: fewer false declines and better approval rates
Known for its chargeback guarantee model, Riskified takes on liability for fraudulent transactions it approves.
- Best for: high-volume e-commerce in travel, retail, luxury
- Key features: guaranteed approval, machine learning engine
- Finance benefit: ROI-backed fraud protection with liability shift
A modular fraud tool that’s easy to deploy, SEON helps online businesses detect fraud using digital footprinting and custom rules.
- Best for: mid-sized e-commerce and fintech companies
- Key features: email/phone analysis, rule-based engine, device signals
- Finance benefit: low-cost, flexible fraud detection
ClearSale combines AI screening with manual expert reviews to optimize approval rates while minimizing risk.
- Best for: cross-border commerce and APAC/LatAm merchants
- Key features: hybrid decision engine, chargeback insurance
- Finance benefit: higher sales with protection from fraud and false declines
Comparison table
| Platform | Best for | Core Strengths | Finance Benefit |
|---|
| Eftsure | Mid-to-large B2B enterprises | Vendor verification, AP monitoring | Prevents invoice/BEC fraud |
| SAS | Enterprise banks | Real-time AI detection | Precision with low false positives |
| FICO Falcon | Card fraud control | Neural models, scoring engine | Cross-channel protection |
| Feedzai | Banks and fintechs | Unified fraud + AML platform | RiskOps streamlining |
| Sift | Online commerce | Behavioral fraud modeling | Chargeback reduction |
| Kount | E-commerce | Identity trust scoring | Fewer false declines |
| Riskified | Retail/travel high-volume | Chargeback guarantee | ROI-backed fraud prevention |
| SEON | Mid-market businesses | Fast setup, flexible rules | Easy to deploy fraud control |
| ClearSale | Cross-border retailers | Manual + AI hybrid reviews | High approval rates, fraud protection |
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 behavioral 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/AP system?
- Does it cover the types of fraud we’re most exposed to?
- What level of vendor verification does it offer?
- Does it reduce our reliance on manual or callback 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 — all without slowing down workflows.
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