Fact Sheet: Fraud Detection for Banks

FraudNet has been recognized as a Sample Vendor in the Self-Supervised Learning for Fraud Detection profile of the Gartner® Hype Cycle™ for Fraud and Financial Crime Prevention, 2026.

Confirmation of Payee checks that a name matches an account, and a scam can pass that check by giving the payer the right name. Coverage ends at the receiving account, which is the first place a gap appears.

Your scam data counts the payment, not the network behind it. In our guide, find where your controls can't see and which gaps to address first.

Fraud leaders have long likened scams to an iceberg, yet most detection still occurs at the point of payment, and losses keep rising. The scam data banks rely on capture only a small share of cases, and one measure, how many scam cases link to each other, would show what is missing.

A reported scam case records one clean payment and little else. This post explains what actually lies behind that payment, what it costs a bank, and why no single institution can see it all.

"AI risk" is a dozen problems that happen to share one technology, and they will be managed badly until we stop debating them as a single thing and instead hand each tile to the people who actually know that domain.

AI has exponentially increased the scale of enumeration. Learn how to detect card testing with automated, real-time, always-on monitoring in our free webinar.

Here’s what acquirers and PSPs need to know about the VAMP Enumeration Ratio: Merchants can look fine with their own numbers while pushing your portfolio into Excessive territory.

Card testing is a method fraudsters use to validate stolen card numbers before running real fraud. Learn how it works, key terms, and how it's detected.

In this guide, learn how card testing attacks work, why manual detection misses coordinated campaigns, and what catches them under Visa's VAMP regulations.

Juniper Research recognizes FraudNet's AI-native platform for advancing fraud prevention and AML compliance.

The majority of fraud teams are actively piloting AI agents, but haven’t fully deployed. Three practitioners explain the governance framework that separates the two.

Fraud teams say internal model governance drives more AI explainability friction than regulators. Three practitioners explain what to build first.

Three practitioners with direct operating experience in digital banking, global payments compliance, and enterprise fraud protection explain what changed about AI-generated fraud, and what forward-facing detection programs actually require.

Your rules weren't built for AI-generated fraud. Join FraudNet, Bankingly, and Euronet to see how behavioral signals catch what rules miss.

Event-based detection sees transactions. Entity risk intelligence sees intent. In our eBook, learn why that difference determines whether your institution wins or loses against modern fraud.

The April 2026 NPRM shifts AML/CFT from checklist compliance to measurable effectiveness and changes what technology institutions need.

Anthropic just proved what a frontier AI can do to software. The financial system is next.

Fraud.net streamlines merchant risk monitoring by plugging directly into TSYS data, enabling real-time policy checks, faster boarding, and sharper portfolio-level insights.

In early 2024, a projection of one billion nefarious AI agents by year-end seemed alarmist. The timeline was aggressive. The threat trajectory was not.

The article explains how instant payment rails require millisecond, pre-transaction fraud decisioning across payments and upstream events (logins, profile/payee changes), and it provides practical vendor selection criteria—rail/message readiness (e.g., FedNow/Faster Payments, ISO 20022), data needs, governance/auditability, and case workflow—alongside a comparison of platforms including Fraud.net, ComplyAdvantage, Trustpair, Feedzai, Sift, and SEON.

The article explains how behavioral biometrics adds low-friction, intent-based fraud detection to reduce ATO, scams/APP fraud, mule activity, and onboarding abuse, and provides a buyer-focused comparison of leading platforms (FraudNet, BioCatch, LexisNexis ThreatMetrix, Sardine, and Featurespace) with guidance on evaluation, governance, and practical POC design.

The article explains how to evaluate leading e-commerce fraud detection platforms by comparing approaches (orchestration/entity intelligence, device intelligence, consortium/network scoring, and chargeback guarantees) and highlights FraudNet as the top choice for unifying real-time decisions and workflows across the full customer lifecycle beyond checkout.

Discover how fragmented risk data impacts trust, compliance, and growth in payments. Learn why data orchestration is the key to unlocking connected risk intelligence and driving business success.

This article provides a structured comparison of the leading card-not-present (CNP) fraud detection software solutions, highlighting their features, industry focus, and recent innovations to help businesses choose the best platform for preventing online payment fraud and ensuring regulatory compliance.

This article provides a comprehensive comparison of top fraud protection tools for high-risk merchants, highlighting their advanced AI/ML capabilities, compliance features, and integration options to help businesses choose the best solution for safeguarding revenue and ensuring regulatory compliance.

This article provides an impartial comparison and strategic overview of the leading chargeback prevention software platforms, highlighting their features, integrations, use cases, and setup considerations to help businesses select the best solution for minimizing fraud and managing chargebacks.

This article provides a strategic comparison of the leading fraud detection and compliance software for payments in 2024, highlighting each platform’s key features, recent updates, and suitability for different industries to help organizations choose the best solution for proactive fraud prevention and regulatory compliance.

This article provides a strategic, data-driven overview and comparison of the leading transaction fraud monitoring software platforms, outlining their features, use cases, and setup considerations to help organizations choose the best solution for real-time fraud prevention and regulatory compliance.

Real-world results from our expert webinar: "Transforming Client Experience Through Intelligent Data" demonstrate how leading financial institutions use intelligent automation to reduce onboarding time and streamline review queues.

Stop the "swivel-chair" analysis. Learn how a unified risk data layer normalizes disparate payment signals to transform reactive firefighting into proactive control.

Stop choosing between speed and security. Data orchestration decouples growth from risk and scales your payment operations confidently.

Siloed data erodes merchant trust through false declines and vague communication. Learn how connected risk intelligence restores transparency and fuels growth.

Don't wait for the April 2026 deadline. Learn how to audit your VAMP ratio, block enumeration attacks, and use automation to stay compliant.

This article provides a comprehensive comparison of the top enterprise fraud prevention platforms for 2024, outlining their key features, benefits, industry focus, and implementation considerations to help organizations select the best solution for their unique risk and operational needs.

This article provides an impartial, structured overview and comparison of leading account takeover (ATO) prevention software platforms, highlighting their features, industry use cases, and selection criteria to help organizations strengthen security and protect against evolving fraud threats.

This article provides a strategic comparison of the top fraud detection, risk management, and compliance software platforms for crypto exchanges, highlighting their features, strengths, and recent updates to help exchanges choose the best solution for combating financial crime and meeting regulatory requirements.

Discover the hidden costs of VAMP non-compliance. Learn about the fees, acquirer scrutiny, and operational risks that come with Visa's new framework.

This article provides an impartial, detailed comparison of the top fraud prevention platforms for payment acquirers, outlining each solution's key features, differentiators, and recent updates to help acquirers choose the best technology for minimizing risk, ensuring compliance, and controlling operational costs.

This article provides a strategic comparison of leading fraud risk scoring software platforms for banks, detailing their features, strengths, and recent innovations to help financial institutions choose the best solution for effective fraud prevention and regulatory compliance.

This article provides an impartial, in-depth comparison of leading fraud detection platforms tailored for online marketplaces, highlighting their core strengths, features, and recent advancements to help businesses choose the best solution for secure growth and compliance.

This article provides an impartial, detailed comparison of the top real-time fraud detection platforms, highlighting their unique features, AI/ML capabilities, compliance tools, and practical use cases to help organizations choose the best solution for secure, scalable online payment protection.

This article provides an in-depth comparison of the top synthetic identity fraud detection tools in 2024, highlighting their features, strengths, and practical considerations to help organizations choose the best solution for protecting against increasingly sophisticated fraud threats.

This article provides a data-driven comparison of leading fraud analytics platforms for financial institutions, outlining their key features, recent innovations, and practical considerations to help organizations select the best solution for detecting and preventing evolving fraud threats.

This article provides a comprehensive comparison of the top merchant fraud monitoring software solutions, outlining their core features, strengths, recent updates, and key considerations to help businesses select the best platform for fraud prevention, regulatory compliance, and operational efficiency.

This article provides a comparative overview of the leading fraud detection platforms for fintechs, highlighting their key features, machine learning capabilities, compliance benefits, and practical considerations to help organizations choose the best solution for evolving fraud and compliance challenges.

This article provides a structured comparison of the top fraud, risk, and compliance platforms for P2P payments in 2025, highlighting their features, recent updates, and key considerations to help businesses choose the best solution for safeguarding their peer-to-peer payment ecosystems against evolving fraud threats.

The article provides a strategic comparison of leading refund fraud prevention software platforms, highlighting their key features, use cases, and recent updates to help businesses choose the best solution for protecting revenue and reducing operational risks from increasingly sophisticated refund fraud.

This article provides a comprehensive, comparative guide to the leading fraud case management software platforms, highlighting their features, benefits, and considerations to help organizations choose the best solution for effective fraud prevention and regulatory compliance.

This article provides a comprehensive, strategic comparison of leading chargeback fraud prevention software solutions, highlighting their core features, recent innovations, and ideal use cases to help businesses select the right tool for their risk, compliance, and operational needs.

This article provides a comprehensive comparison of leading merchant risk monitoring solutions, highlighting their key features, industry focus, and recent updates to help organizations select the best platform for fraud prevention, compliance, and managing high-risk merchant portfolios.

This article provides a strategic comparison of the top cross-border payment fraud prevention platforms for 2025, outlining their key features, strengths, and industry focus to help businesses choose the best solution for secure and compliant international transactions.

This article provides a structured comparison of leading fraud prevention platforms for remittance providers, highlighting their features, AI/ML capabilities, compliance support, and recent innovations to help organizations select the best solution to detect threats, ensure compliance, and protect cross-border transactions.

Visa’s VAMP threshold drops to 1.5% on April 1, 2026. Learn the risks of non-compliance and how to prepare your business for the new fraud rules.

Understand Visa's updated VAMP program with our infographic. Learn about the new ratio, thresholds, and how to prepare for the 2026 changes.

See how Fraud.net's Data Orchestration helps teams move from raw inputs to actionable outcomes without adding operational friction.

Most organizations don’t struggle with a lack of data, but rather with data siloed in disconnected systems, which slows down decisions and increases risk. This eBook explains why disconnection occurs, how to identify it, and what connected data looks like in practice.

Manual reviews slow down fraud operations. Learn strategies such as tiered queues and whitelisting to enhance efficiency and lower costs.

Stop managing risk in silos. Discover how a multi-departmental policy monitoring approach, driven by data orchestration, unifies your teams for a comprehensive view of risk.

Is your risk team relying on spreadsheets? Learn why manual reconciliation creates hidden risks, slows response times, and burns out analysts.

Learn how data orchestration helps identify, flag, and prevent refund abuse by connecting fragmented payment data, automating risk detection, and closing critical gaps between sales and refund events.

Alert fatigue from false positives can overwhelm fraud teams and increase risk. Learn about the impact of unmanaged fraud alerts on your operations.

Cathy Ross, President and Co-Founder of Fraud.net, is featured on the cover of Entrepreneurial Outlook’s Top 10 Unstoppable Women Entrepreneurs of 2025.

When teams responsible for onboarding, compliance, and fraud work in isolation, the client experience suffers, and operational costs rise. This internal data chaos directly impacts your ability to compete. The solution lies in creating clarity and consistency in how information is used across the organization.

ISO/IEC 27001:2022 certification serves as independent confirmation that Fraud.net's Information Security Management System (ISMS) meets the highest industry standards for data protection and risk management.

This article provides a comprehensive comparison of leading B2B KYC and AML software solutions, evaluating their features, capabilities, and use cases to help businesses make informed decisions for regulatory compliance and risk management.

This article provides a comprehensive, data-driven comparison of leading B2B AML software solutions, highlighting their features, strengths, and suitability for various organizational needs to help businesses select the best platform for effective anti-money laundering compliance and risk management.

This article provides a structured comparison of leading B2B fintech fraud detection platforms, highlighting their features, strengths, and considerations to help organizations select the best solution for fraud prevention, compliance, and integration needs.

This article provides a strategic comparison of the top geolocation-based fraud detection platforms for B2B organizations, highlighting their features, compliance capabilities, and integration options to help businesses choose the best solution for preventing digital fraud and ensuring regulatory compliance.

This article provides a comprehensive comparison of leading chargeback fraud detection tools for B2B organizations, highlighting their features, use cases, benefits, and setup considerations to help businesses choose the optimal solution for preventing fraudulent chargebacks and safeguarding revenue.

This article provides a strategic, data-driven comparison of the top B2B fraud detection tools for crypto exchanges, outlining their key features, AI/ML capabilities, integration options, and compliance support to help decision-makers select the best solution for secure, compliant, and scalable digital asset trading.

This article provides a comprehensive comparison of leading automated B2B anti-money laundering (AML) solutions, highlighting their features, industry focus, and benefits to help organizations select the best platform for effective fraud detection, risk management, and regulatory compliance.

This article provides an impartial, in-depth comparison of the top B2B anti-money laundering (AML) software solutions for banks, highlighting their key features, benefits, and considerations to help financial institutions choose the best platform for compliance and financial crime prevention.

The article provides a comprehensive, impartial comparison of leading B2B anti-money laundering (AML) software solutions for fintechs, outlining each platform’s strengths, features, recent updates, and key considerations to help organizations choose the best tool for regulatory compliance and effective risk management.

This article provides a comprehensive comparison of leading B2B risk management software solutions, highlighting their features, strengths, and considerations to help organizations select the best platform for managing third-party risk, fraud, and regulatory compliance.

Get clear guidance on Visa VAMP changes for merchants, PSPs, and acquirers. This whitepaper explains what’s shifting in dispute and fraud monitoring and how to reduce risk exposure.

In this guide, FraudNet outlines key strategies for fraud and risk leaders on cutting false positives, reducing manual reviews, and turning alert fatigue into a lean, scalable fraud program.

This article provides a comprehensive comparison of leading B2B real-time transaction monitoring platforms, highlighting their features, industry focus, and recent updates to help organizations choose the best solution for fraud prevention, compliance, and operational risk management.

This article provides a comprehensive comparison of leading B2B payment fraud detection platforms—highlighting their machine learning capabilities, compliance features, and integration options—to help organizations select the best solution for protecting against increasingly sophisticated payment fraud threats.

This article provides a strategic comparison of top B2B refund fraud prevention platforms, highlighting their AI-powered features, compliance capabilities, and operational benefits to help businesses combat refund abuse and protect revenue.

The article provides an analytical comparison of leading B2B credit card skimming prevention solutions, highlighting their key features, use cases, and recent updates to help organizations choose the best platform for safeguarding against evolving payment fraud threats in 2024.

This article provides a comprehensive, data-driven comparison of the top synthetic fraud detection tools for B2B banking and fintech, evaluating their machine learning capabilities, compliance features, integration strengths, and recent innovations to help financial institutions select the best solution for combating emerging synthetic fraud threats.

This article provides an impartial, data-driven comparison of the leading B2B mule account detection tools—FraudNet, Hawk, and BioCatch—highlighting their features, innovations, and practical considerations to help organizations strengthen fraud prevention, risk management, and regulatory compliance.

This article provides a strategic, data-driven comparison of leading B2B e-commerce fraud detection software, highlighting key features, benefits, and setup considerations to help businesses select the best solution for safeguarding revenue and maintaining compliance.

This article provides a comprehensive comparison of the leading B2B KYC software platforms, outlining their key features, industry focus, recent updates, and setup considerations to help enterprises choose the best solution for automated identity verification, risk management, and regulatory compliance.

This article provides a detailed, data-driven comparison of leading B2B financial transaction monitoring software platforms, outlining their features, benefits, use cases, and setup considerations to help organizations select the best solution for fraud prevention and regulatory compliance.

The article provides an in-depth comparison of the leading B2B transaction monitoring software solutions—highlighting their features, strengths, and use cases—to help organizations choose the best tool for fraud prevention, compliance, and risk management.

The article provides a strategic comparison of leading B2B transaction monitoring and fraud detection software platforms, highlighting their advanced analytics, compliance features, and suitability for organizations seeking to protect against financial crime and streamline regulatory compliance in complex business environments.

This article provides an impartial, in-depth comparison of leading B2B AML transaction monitoring software platforms, highlighting their features, strengths, and recent updates to help organizations select the best solution for efficient, scalable, and compliant financial crime detection.

The article provides a comprehensive comparison of the top B2B wire transfer fraud detection and compliance software platforms, highlighting their key features, recent updates, and integration considerations to help organizations choose the best solution for protecting high-value digital payments from increasingly sophisticated fraud threats.

The article provides a strategic comparison of leading B2B fintech fraud prevention platforms, outlining their key features, innovations, and suitability for different business needs to help organizations select the best solution for their risk management and compliance requirements.

This article provides a comprehensive comparison of leading B2B anti-fraud solutions in fintech, evaluating their machine learning capabilities, compliance features, integration options, and industry focus to help organizations select the best platform for managing fraud, compliance, and risk.

This article provides a data-driven comparison of leading B2B machine learning fraud detection platforms, highlighting their unique features, industry focus, and recent innovations to help organizations choose the best solution for real-time fraud prevention and compliance.

This article provides a comprehensive comparison of leading B2B payment fraud prevention platforms, highlighting their machine learning capabilities, compliance features, industry focus, and recent updates to help organizations choose the best solution for secure, efficient, and compliant payment operations.

The article reviews and compares the top B2B new account fraud prevention platforms, highlighting their features, compliance capabilities, and integration options to help organizations protect against increasingly sophisticated fraud threats during digital onboarding.

The article provides an expert-driven comparison of leading B2B AML compliance software solutions, highlighting their features, innovations, and suitability to help organizations select the best platform for their operational and regulatory needs.

This article provides a strategic comparison of leading synthetic identity fraud detection platforms, outlining their key features, use cases, strengths, and considerations to help organizations choose the right technology for combating complex digital fraud threats.

Discover how automation and orchestration help fraud teams reduce alert fatigue, prevent losses, and build lasting customer trust.

This article provides a comprehensive comparison of leading B2B KYC software solutions, highlighting their features, recent advancements, and practical use cases to help businesses choose the best platform for automated identity verification, risk management, and regulatory compliance.