Top 10 Best Bank Fraud Prevention Software of 2026

FICO Falcon Fraud Manager is a leading enterprise-grade fraud prevention platform designed specifically for banks and financial institutions to detect and prevent fraud in real-time across all transaction channels, including digital banking, cards, and payments. It utilizes advanced AI, machine learning models, and a vast global consortium network to analyze billions of transactions daily, delivering high detection accuracy with minimal false positives. The solution enables adaptive decisioning, customizable rules, and seamless integration to combat evolving fraud threats while optimizing customer experience.

Feedzai is an AI-native fraud prevention platform tailored for financial institutions, leveraging advanced machine learning to detect and prevent fraud in real-time across banking, payments, and digital commerce. It processes billions of transactions daily, using adaptive models that continuously learn from new data to combat evolving fraud tactics without manual rule updates. The solution unifies fraud detection, AML, and risk management into a single RiskOps platform, enabling banks to scale securely while minimizing false positives.

NICE Actimize provides enterprise-grade, AI-powered fraud prevention solutions designed specifically for banks and financial institutions to combat sophisticated fraud threats. Leveraging advanced machine learning, behavioral analytics, and real-time transaction monitoring, it detects anomalies across payments, accounts, and channels like account takeover, synthetic identity fraud, and payment fraud. The platform integrates with core banking systems for seamless deployment and offers comprehensive compliance reporting to meet regulatory requirements.

SAS Fraud Management is an enterprise-grade platform from SAS that leverages advanced analytics, machine learning, and AI to detect and prevent fraud in banking environments. It provides real-time transaction monitoring, behavioral analysis, and consortium-based intelligence sharing to identify sophisticated fraud patterns. The solution excels in handling high-volume data streams and offers customizable models for rules-based and unsupervised detection, making it suitable for large-scale financial operations.

ACI Fraud Management is a robust real-time fraud prevention platform from ACI Worldwide, designed specifically for banks and financial institutions to combat fraud across payment channels like cards, ACH, wires, and real-time payments. It employs AI, machine learning, and behavioral analytics to deliver precise risk scoring, automated decisioning, and adaptive models that minimize false positives while maximizing detection rates. The solution supports high-volume transaction processing with global consortium data integration for enhanced threat intelligence.

Featurespace ARIC is an enterprise-grade fraud prevention platform leveraging adaptive behavioral analytics to detect and prevent bank fraud in real-time. It uses unsupervised machine learning to continuously learn from individual customer behaviors, identifying anomalies without predefined rules or labeled training data. The solution protects against account takeover, payment fraud, AML risks, and emerging threats while minimizing false positives through its evolving models.

LexisNexis ThreatMetrix is a leading digital fraud prevention platform that uses advanced device fingerprinting, behavioral biometrics, and a massive global shared intelligence network to deliver real-time risk assessment for online transactions. Tailored for banks and financial services, it detects sophisticated fraud like account takeovers, new account fraud, and payment scams through analysis of over 1,000 device and behavioral signals per session. The solution enables risk-based authentication and orchestration, balancing security with seamless customer experiences in high-volume digital banking environments.

Sift is an AI-driven fraud prevention platform designed to combat digital fraud in banking, including account takeovers, payment fraud, and synthetic identity attacks. It uses machine learning powered by a global data network from billions of interactions to deliver real-time risk scores and automated decisions. The solution integrates seamlessly with banking APIs and offers customizable rules and workflows for tailored fraud management.

Kount is an AI-powered fraud prevention platform specializing in real-time risk assessment for online transactions, leveraging machine learning models trained on billions of global data points. It provides banks with tools for payment fraud detection, account takeover prevention, device fingerprinting, and chargeback management. While primarily e-commerce focused, it adapts well to bank digital channels like mobile and online banking for card-not-present fraud.

SEON is a robust fraud prevention platform tailored for banks and financial institutions, specializing in real-time detection of account takeovers, payment fraud, new account fraud, and synthetic identities. It combines machine learning models with over 50 risk signals, including device fingerprinting, behavioral analysis, email/phone intelligence, and IP geolocation for accurate risk scoring and automated decisions. The no-code rules engine and dashboard allow teams to customize workflows without extensive coding, integrating seamlessly with banking systems for KYC, AML, and transaction monitoring.