Gartner defines fraud detection in banking payments as platforms that use machine learning (ML) models and business rule engines (BREs) to detect and prevent criminal activities related to money movements that aim to defraud the banks and its customers. Banks use these platforms to determine the risk associated with events, such as payments (including real-time payments), and typically include modules for transaction monitoring, a decision engine and case investigations. A high-risk score may initiate a further review to determine if it is a true positive (fraud) or a false positive (not fraud). Modern platforms that incorporate ML models and BREs are capable of monitoring many account actions and use data from multiple sources. They are generally not used for identity verification, internal fraud, physical controls at branches and ATMs or accounts payable functions.
Feedzai’s RiskOps platform is an end-to-end, AI-native solution designed for banks and PSPs to mitigate risk across the entire user journey. Rather than analyzing isolated transactions, Feedzai stitches together full user context—including login history, devices, and timing—to build a continuously updated profile of every individual.
Key Platform Strengths:
Operational Control: Manage risk strategies in-house, adapting models and workflows without relying on vendor release cycles or external support.
Data Integration: Use unbounded feature windows to combine internal bank data with third-party sources.
Scalable Growth: Start with targeted tools like behavioral biometrics and scale into full transaction decisioning.
Trusted by the world’s largest financial institutions, Feedzai solves complex challenges from synthetic ID's, scams and mules to card fraud. This RiskOps approach creates a compounding effect: the more connected the ecosystem, the stronger the security outcomes.
Visa Protect delivers real time, AI powered decisioning for Financial Institution (FI) related events and across all payment types and channels. Built on Visa’s global network, deep human expertise, and 30+ years of data, it helps businesses see risk clearly, investigate flagged events, take control with customizable rules, and remove friction through automated orchestration. Visa Protect enables FIs to mitigate fraud losses, simplify management across Visa and non Visa transactions, and increase revenue by reducing chargebacks and false declines - all while ensuring secure, seamless customer experiences.
Oracle Data Platform is a software designed to support data management and analytics across various environments. The software enables organizations to integrate, store, and analyze structured and unstructured data from multiple sources. It offers features such as data ingestion, transformation, governance, security, and real-time processing. Oracle Data Platform supports various data workloads including data warehousing, data lakes, and big data analytics. It facilitates business intelligence and machine learning by providing tools for data discovery and visualization. The software addresses challenges related to data silos, scalability, and data accessibility, enabling businesses to derive insights and make data-driven decisions.
AdvanThink FraudManager is a software developed to detect, prevent, and manage fraudulent activities within digital financial services. The software analyzes transaction patterns and user behavior using data analytics and machine learning to identify anomalous and potentially unauthorized activities. FraudManager supports real-time transaction monitoring and generates alerts based on configurable risk parameters, enabling financial institutions and payment service providers to minimize financial losses and comply with regulatory obligations. The software assists in reducing operational risks by automating the fraud investigation process and providing detailed reporting and audit trails for internal and external reviews.
BioCatch Connect is a software that analyzes user behavior through advanced behavioral biometrics for the purpose of detecting fraud and improving digital identity verification processes across financial and digital channels. The software continuously collects and analyzes data on user interactions, such as keystrokes, mouse movements, and device gestures, to identify patterns consistent with genuine users and to detect anomalies that may indicate fraudulent activities. BioCatch Connect supports organizations in managing account opening, authentication, and transaction monitoring by providing insights into behavioral risk without relying on traditional static credentials. The software helps address business challenges related to account takeovers, social engineering, and identity theft by offering real time risk assessments based on unique cognitive and behavioral profiles.
ComplyRadar is a software designed to assist organizations in monitoring and managing compliance with regulatory requirements related to anti-money laundering processes. The software automates the detection of suspicious activity by analyzing transactional data, customer profiles, and behavioral patterns. ComplyRadar offers features such as real-time transaction monitoring, customizable rule engines, alert management, and comprehensive reporting tools. It enables organizations to streamline compliance workflows, manage investigations, and maintain audit trails. The software addresses business challenges related to regulatory adherence, operational risk, and timely identification of potential financial crime activities.
DataVisor is a software that utilizes machine learning and artificial intelligence to provide advanced fraud detection and prevention capabilities for organizations. It is designed to analyze large volumes of data, identifying patterns and anomalies in transactions, account activities, and behavioral signals. The software supports detection of various types of fraudulent activities, including account takeover, payment fraud, fake account creation, and money laundering. By leveraging proprietary algorithms and analytics, DataVisor helps organizations to monitor user activity in real time, automate risk assessment processes, and reduce losses related to financial crime. The software integrates with existing systems and delivers actionable insights aimed at strengthening the security and integrity of digital platforms.
Monitor Plus is a software designed to assist businesses in managing display advertising operations and traffics. The software automates processes related to ad serving, campaign management, and reporting, helping organizations efficiently coordinate online advertising inventory across publishers and agencies. It provides tools for tracking campaign status, performance metrics, billing, and inventory allocation, enabling users to streamline trafficking and optimize digital ad delivery. Monitor Plus addresses operational challenges in digital advertising workflows by offering centralized management and improving oversight of campaign execution and reporting tasks.
SecurLOCK is a software designed to provide transaction monitoring and fraud prevention capabilities for card issuers and financial institutions. The software uses analytics to identify suspicious activity in real time, allowing organizations to manage potential fraud across card networks and payment channels. SecurLOCK supports customizable rule sets for risk management, offers notification and alert features, and helps organizations detect and respond to fraudulent transactions efficiently. The software aims to address security challenges associated with electronic payments by automating the identification of abnormal patterns and enhancing the overall safety of card-based products.
XTN Cognitive Security Platform is a software designed to safeguard digital transactions and online interactions by utilizing behavioral analysis and machine learning technologies. The software provides threat detection and mitigation through the identification of anomalous user activities and device behaviors, aiming to prevent fraud and unauthorized access. It offers features such as continuous authentication, transaction monitoring, and adaptive responses to potential risks. The software addresses business problems related to cybersecurity, focusing on securing mobile applications, safeguarding digital identities, and reducing losses from fraudulent activity in digital environments.
360 Risk Control software provides organizations with tools to manage risk and compliance across digital environments. This software offers features such as risk identification, assessment, and mitigation through an integrated platform, enabling businesses to monitor and address security vulnerabilities, regulatory requirements, and policy compliance. It includes customizable controls for risk frameworks, automated workflows for incident management, and centralized reporting to deliver visibility into risk posture. The software is designed to help organizations standardize risk processes and reduce manual effort, supporting informed decision-making for protecting digital assets and aligning with governance requirements.
ACI Enterprise Payments Platform is a software designed to manage and process a wide range of payment transactions for financial institutions and organizations. The software supports real-time payments, automated clearing house (ACH) transactions, cross-border payments, and high-value corporate payments. It enables interoperability between different payment networks and integrates with existing banking systems. The platform offers fraud management, regulatory compliance, and reporting capabilities. Business problems addressed by the software include streamlining payment operations, achieving scalability for transaction volumes, and reducing risk through unified monitoring and control. The software aims to help organizations handle complex payment requirements and adapt to evolving payment standards within financial environments.
aiRiskNet is a software designed to address risk management and fraud detection in payment and transaction processing environments. The software uses machine learning models to monitor and analyze transaction data in real-time, identifying potential fraud and unusual patterns. aiRiskNet supports configurable rules and adaptive analytics to enable tailored policy enforcement based on organizational risk requirements. The software provides interfaces for case management, reporting, and workflow automation, assisting institutions in managing investigations and compliance efforts. aiRiskNet aims to reduce financial losses and improve the efficiency of fraud prevention processes by offering a platform for detection and alert management within financial and payment services operations.
Argus Fraud Management Platform is a software designed to detect and prevent fraudulent activities across various financial services. The software utilizes data analytics, machine learning, and risk assessment models to analyze transaction data and user behavior, identifying potential risks in real time. It provides configurable rule-based engines, automated case management, and reporting tools to support compliance and operational needs. Argus Fraud Management Platform addresses issues related to unauthorized transactions, identity theft, and application fraud, enabling organizations to mitigate risks, reduce financial losses, and streamline investigation processes through centralized monitoring and alert generation. The software is typically used by financial institutions and payment service providers requiring advanced fraud prevention and management capabilities.
Aric is a software designed to support management and optimization of operations within telecommunications. The software utilizes artificial intelligence and automation to analyze network activity, detect anomalies, and provide insights for fraud prevention, revenue assurance, and risk management. Aric enables businesses to monitor data streams, identify irregular patterns in transactions, and support decision-making processes by delivering actionable intelligence. The software integrates with existing operational workflows to improve efficiency and reduce potential losses related to fraud and revenue leakage. Aric addresses the need for enhanced network reliability and financial accuracy in complex operational environments within the telecommunications sector.
CGI Hotscan360 is a risk management platform that offers two main modules: Payment Filtering / Sanction Screening and a Fraud Detection Module. Both of these modules offer real time payment screening. The Payment Filtering / Sanction Screening module is focused on real time rules based scanning, augmented with Human-in-the-Loop AI functionality. This module also features rich watchlist screening functionality with the ability to scan transactions against multiple watchlists simultaneously. The system is highly scalable in terms of scanned transaction per millisecond, and also in terms of the total volume of payments.
Clari5 is a software designed for real-time financial transaction monitoring and fraud management within banks and financial institutions. The software utilizes analytics and machine learning to detect suspicious activities and potential fraud across multiple channels, including payments, cards, and transactions. Clari5 provides regulatory compliance support and risk mitigation by identifying anomalies and patterns indicative of financial crime. The software enables organizations to prevent and investigate fraudulent events, automate alerts, and enhance decision-making related to risk management. Clari5 helps address challenges such as financial loss, compliance requirements, and operational inefficiencies associated with complex transaction environments within banking operations.
Cleafy is a cyber-fraud fusion platform for financial institutions that detects and prevents online fraud, both authorised and unauthorised. Its multi-layered Attack Pattern Reconstruction capability integrates cybersecurity and fraud management, providing visibility across web and mobile channels. With embedded threat intelligence from Cleafy LABS and cross-network data sharing, the platform helps banks monitor fraud activity, protect users, and support ongoing operations.
ComplyAdvantage Mesh is software designed to streamline financial crime risk management by providing real-time monitoring, detection, and screening of transactions and entities. The software offers features such as customizable workflows, automated risk assessments, and integration with regulatory data sources. It helps organizations identify risks associated with money laundering, sanctions, and politically exposed persons by utilizing machine learning and data analytics. Mesh addresses the business problem of meeting compliance requirements and reducing exposure to financial crime by centralizing risk data and simplifying compliance processes within financial institutions and related organizations.
Payment Risk Platform is a software developed by Galileo Financial Technologies designed to identify, manage, and mitigate risks associated with payment transactions. The software uses data analytics and machine learning to monitor transaction patterns and detect suspicious or unauthorized activities. It offers configurable risk rules, real-time transaction screening, and fraud detection capabilities to help financial institutions minimize exposure to payment fraud. The software addresses issues related to increasingly complex payment ecosystems by providing tools for identifying potential threats, supporting compliance with regulatory requirements, and reducing financial losses due to fraudulent activity. Through its features, the software aims to streamline risk management processes within digital payment environments.
Case investigation (CI): Transactions highlighted by the DE as high risk need to be assessed by human case investigators. Bank staff will use the CI module to make an informed judgment about whether a particular transaction is a true positive (fraud) or a false positive (not fraud). The CI module will give access to additional data sources such as know your customer (KYC) or watchlists to help make the judgment. There is always a capability for posting a report that states the judgment with an audit trail for how that decision was arrived at. To increase productivity and accuracy, case investigation modules may include additional capabilities such as automated workflow, AI assistants, smart allocation, triage for urgency/importance, data source prioritization and prepopulated reports.
Orchestration: This applies to both data and processes. There must be a means of importing the right data, from the right systems and sources, at the right time, and then processing them in the right order. This is the “glue” that integrates the preceding three modules. Most vendors will have built their own orchestration capability, or else they will have adapted a standard business process management (BPM) tool for this specific purpose.
Decision engine (DE): This module must include at least one (and usually both) of an ML model and a BRE. The DE will process data accessed via the TM module. It will also need a set of API connectors for ingesting additional data from security systems such as device ID, location intel and behavioral biometrics. Some of these APIs will be standard off-the-shelf connectors for common systems and others will be custom-made for a specific deployment. The combination of ML and BRE is used to highlight suspected fraudulent payments and money movements by calculating a risk score for each transaction. The ML may be imported from the bank (if it has a preexisting model) or it may be supplied off-the-shelf by the vendor and then tuned for the specific bank it is deployed at.
Transaction monitoring (TM): This module is capable of ingesting data for financial events in the form of (a) incoming and outgoing payments and (b) money movements such as transfers between accounts held at the same bank or between products held by the same customer. It must have links to the payments hub (or payment systems) at the bank and also its core banking system.