Best Solutions for New Account Fraud Prevention

Summary

As B2B fraud threats continue to evolve in sophistication and scale, organizations face mounting pressure to protect themselves, their partners, and their customers from new account fraud. Modern fraudsters exploit digital onboarding processes and global business networks, making traditional defense strategies increasingly insufficient. In this rapidly changing environment, advanced fraud prevention solutions have become essential, offering real-time risk detection, compliance automation, and adaptive threat response.

This guide provides a clear, strategic overview of the top B2B new account fraud prevention platforms-each leveraging cutting-edge technology to address today’s most pressing challenges. We compare their core features, compliance strengths, unique differentiators, and recent innovations to help you make informed, forward-looking decisions. Whether you’re responsible for onboarding, payments, compliance, or marketplace integrity, this analysis is designed to empower you with the insight needed to safeguard your business and build trusted relationships in a dynamic digital landscape.

1. FraudNet

Platform Summary:
FraudNet is a unified platform purpose-built for medium to large enterprises seeking to proactively prevent new account fraud and automate compliance. By leveraging advanced machine learning, a global anti-fraud intelligence network, and modular tools, FraudNet enables organizations to authenticate new users and businesses in real time, block high-risk applications, and streamline onboarding without sacrificing customer experience.

Key Benefits:

• Instantly validates business legitimacy and continuously monitors for suspicious changes
• Uses explainable models for transparent, actionable risk scores
• Shares anonymized fraud data across a global network for proactive threat detection
• Modular and scalable to fit evolving enterprise needs

Core Features:

• Entity Screening: Centralizes and automates risk checks for onboarding, streamlining compliance and real-time verification
• Application Fraud Detection: Flags synthetic identities and misrepresented information before onboarding
• Machine Learning: Delivers accurate, real-time risk scoring to reduce false positives
• Global Anti-Fraud Network: Provides collective intelligence to stay ahead of emerging fraud tactics

Primary Use Cases:

• Secure fintech onboarding with instant identity verification
• Automated merchant vetting for e-commerce marketplaces
• Real-time analysis of new customer sign-ups to prevent promotional abuse and fraudulent accounts

Recent Updates:
FraudNet recently launched its Entity Screening solution, centralizing and automating the verification process for both businesses and individuals. The introduction of Policy Monitoring empowers organizations to proactively manage merchant compliance and contractual risks. FraudNet was also honored with the Datos Insights Award for its Joint AML and Fraud Transaction Monitoring solution, reflecting its leadership in unified financial crime management.

Setup Considerations:

• Modular platform allows for tailored integration and scalability
• Seamless data orchestration breaks down internal silos for a unified risk view
• Collaborative model development ensures custom solutions fit unique business needs
• Expert-led implementation supports smooth onboarding and immediate value

2. Feedzai

Platform Summary:
Feedzai is a robust risk management platform designed for large financial institutions and payment providers. It specializes in behavioral biometrics and machine learning to detect anomalies, prevent account takeover, and support compliance across the financial crime lifecycle.

Core Features:

• Behavioral Biometrics & Machine Learning
• Centralized Risk Management Dashboard
• Real-Time Risk Scoring
• Advanced AML Transaction Monitoring

Primary Use Cases:

• Banking fraud prevention
• Payment service provider security
• Government fraud detection and compliance monitoring

Recent Updates:
Feedzai has enhanced its AML transaction monitoring and introduced new behavioral biometrics modules, further improving detection accuracy and compliance effectiveness.

Setup Considerations:

• Integration with legacy systems can be complex and resource-intensive
• Best suited for organizations with established risk and compliance teams
• Custom pricing and features may be inaccessible for smaller organizations

3. Forter

Platform Summary:
Forter is a fraud prevention platform tailored for digital commerce and B2B marketplaces. It excels in rapid deployment and flexible policy management, enabling organizations to quickly adapt to evolving fraud tactics and regulatory requirements.

Core Features:

• Fraud Detection
• Rapid Deployment & Integration
• Custom Policy Management
• Real-Time Transaction Decisioning

Primary Use Cases:

• E-commerce fraud protection
• B2B marketplace security
• Regulatory compliance for digital transactions

Recent Updates:
Forter has improved its integration and deployment processes, expanded support for enterprise clients, and enhanced its focus on customer experience.

Setup Considerations:

• Volume-based pricing may not suit startups or low-volume businesses
• Primarily focused on digital commerce and marketplace use cases
• Limited transparency in decision-making for highly regulated industries

4. Kount

Platform Summary:
Kount, part of the Equifax family, offers real-time fraud detection and chargeback management for subscription services and marketplaces. Its deep global data network and flexible policy engine provide high accuracy and customization for scalable fraud prevention.

Core Features:

• Real-Time Fraud Detection & Chargeback Management
• Global Data Network
• Passwordless & Synthetic Identity Protection
• Custom Policy Automation

Primary Use Cases:

• New account fraud prevention
• Subscription and marketplace security
• Tailored fraud screening rules for unique risk profiles

Recent Updates:
Kount has enhanced its chargeback management capabilities, streamlined deployment options, and improved onboarding processes to better support merchants.

Setup Considerations:

• Lacks advanced behavioral analytics for complex fraud patterns
• Tiered, volume-based pricing may not fit all business models
• Primarily addresses transaction and chargeback fraud, with less compliance automation

5. TruValidate (TransUnion)

Platform Summary:
TruValidate leverages global data sources and machine learning to deliver comprehensive identity verification and continuous account monitoring for enterprises with complex compliance needs.

Core Features:

• Global Identity Verification
• Continuous Monitoring & Risk Scoring
• API & Cloud Integration
• Automated KYC/AML Checks

Primary Use Cases:

• Enterprise onboarding verification
• Continuous account monitoring for fraud and account takeover
• Regulatory compliance automation

Recent Updates:
TruValidate has expanded its identity verification capabilities and introduced new event monitoring features to strengthen fraud detection and compliance automation.

Setup Considerations:

• Custom contract pricing may lack transparency for smaller organizations
• Full deployment may require significant technical resources
• Fewer published customer success stories compared to other platforms

6. Cybersource

Platform Summary:
Cybersource, powered by Visa, delivers real-time payment fraud detection and PCI compliance tools for e-commerce and B2B payment providers. Its integration with the Visa network offers robust support for businesses processing high transaction volumes.

Core Features:

• Visa Network Analytics
• PCI Compliance Tools
• API & Cloud Integration
• Real-Time Payment Fraud Detection

Primary Use Cases:

• Online payment fraud prevention
• PCI compliance automation
• Integration testing and simulation for payment flows

Recent Updates:
Cybersource has improved its test environments and enhanced PCI compliance tools, making integration and regulatory adherence more straightforward.

Setup Considerations:

• Limited behavioral analytics compared to some competitors
• Transaction-based pricing may not suit all business sizes
• Primarily addresses payment fraud, with less focus on broader identity verification or compliance needs

What is New Account Fraud Prevention?

New account fraud (NAF) prevention in a B2B context refers to the strategies and technologies used to detect and block malicious actors from opening business accounts using stolen, manipulated, or entirely fabricated credentials. Unlike consumer fraud, B2B new account fraud often involves sophisticated schemes, such as creating synthetic business identities or impersonating legitimate companies to gain access to credit lines, order goods without intent to pay (also known as bust-out fraud), or establish a foothold for larger-scale attacks. Effective prevention solutions analyze a wide array of signals during the onboarding process to verify that a new business applicant is legitimate and trustworthy before any transactions occur. For a deeper dive into the tactics and techniques used by scammers, see this guide to new account fraud tactics.

Why is New Account Fraud a Critical Threat for B2B Companies?

The stakes of new account fraud are significantly higher in the B2B world. A single fraudulent account can lead to catastrophic financial losses, as business-to-business transactions often involve large credit lines and high-value orders far exceeding typical consumer purchases. Beyond the immediate financial impact, this type of fraud erodes trust within your business ecosystem, damages your company's reputation, and can lead to wasted operational resources spent on vetting and collections. Failing to stop fraudulent businesses at the point of entry leaves your organization vulnerable to invoice fraud, payment defaults, and supply chain disruption, making robust prevention a critical component of enterprise risk management.

How to Choose the Best B2B New Account Fraud Prevention Solution

Selecting the right provider requires a methodology focused on data, technology, and B2B-specific expertise. First, evaluate the provider's data network; they should leverage diverse, real-time data sources including digital identity (email, phone, IP), device intelligence, behavioral biometrics, and firmographic data to build a comprehensive risk profile. Second, assess their technology. Leading solutions utilize advanced machine learning to identify subtle patterns and connections indicative of sophisticated fraud rings that rule-based systems would miss. Finally, prioritize providers with proven experience in the B2B space, as they will understand the unique challenges of business identity verification and can offer a solution that seamlessly integrates into your existing onboarding workflow without creating unnecessary friction for legitimate customers. Explore more about key steps and strategies for detecting and preventing new account fraud.

Frequently Asked Questions

What is new account fraud and why is it a significant risk for B2B organizations?

New account fraud occurs when bad actors use stolen, synthetic, or manipulated identities to open new business accounts with the intent to commit fraud. In the B2B space, this can lead to financial losses, reputational damage, regulatory penalties, and disruption of business operations. Fraudsters exploit digital onboarding and global business networks, making it critical for organizations to implement advanced solutions that can detect and prevent fraudulent activity at the earliest stage. For more information on onboarding fraud in banking, see customer onboarding fraud prevention.

How do advanced technologies improve new account fraud prevention?

Modern fraud prevention platforms analyze vast amounts of data in real time, identify complex fraud patterns, and adapt to new tactics as they emerge. These technologies can deliver more accurate risk scores, reduce false positives, and automate decision-making processes. By continuously learning from new data and fraud trends, these systems provide a proactive and scalable approach to protecting organizations from evolving threats. Learn more about identity fraud protection solutions.

What compliance features should B2B organizations look for in a fraud prevention platform?

Key compliance features include automated Know Your Customer (KYC) and Anti-Money Laundering (AML) checks, integration with global watchlists, support for regulatory reporting, and tools for policy management. Platforms should also offer transparent, auditable decision-making and the ability to adapt to changing regulations across different jurisdictions. These features help organizations meet legal requirements, avoid penalties, and maintain trust with partners and customers. For a list of top KYC verification software, visit this resource.

How do these platforms integrate with existing systems and workflows?

Most modern fraud prevention solutions offer flexible integration options, such as APIs, cloud-based connectors, and modular components. Integration complexity can vary: some platforms provide quick, seamless onboarding, while others may require more extensive customization and IT resources. It’s important to assess your organization’s technical capabilities, data orchestration needs, and scalability requirements when selecting a solution.

What factors should fraud decision-makers consider when choosing a B2B new account fraud prevention platform?

Fraud decision-makers should evaluate platforms based on technology capabilities, compliance strengths, ease of integration, scalability, industry focus, and customer support. Consider your organization’s specific risk profile, regulatory environment, onboarding volume, and technical resources. Reviewing recent platform innovations, customer success stories, and the ability to customize solutions for unique business needs can also help ensure a strong fit for your organization. For a comprehensive look at the best fintech fraud management software, see this guide.

Disclaimer: This article is based exclusively on publicly available information. The tools referenced have not been independently tested by us. Should you identify any inaccuracies or wish to provide recommendations, we invite you to contact us.