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BAE Systems

NetReveal Enterprise Payment Fraud from BAE Systems

Protects critical payment systems, using behavioural profiling, anomaly detection and machine learning analytics for quicker identification of fraud

Website

Main categories

Infrastructure Security

Security Operations & Incident Response

Sub categories

Fraud/Bot/Webscrape Prevention

Payment system security

Financial Economic Crime (FEC)

Forensic investigation

Real Time Risk Assessment

behavioral threat detection

fraud protection

Cybercrime

Financial Fraud

Payments Fraud

Value Proposition

Problem

The payments landscape is changing rapidly. The technology advancements and mass adoption of remote banking channels require coordination with waning, yet essential traditional banking channels. Market demands have decreased settlement times and blurred the distinction between domestic and international payments. Evolving regulations governing emerging channels and payment types necessitate greater protection for corporate and retail banking providers. Meanwhile, the volume, speed, and sophistication of online attacks are growing, and core payment infrastructures are exposed to greater threats. The combination of banking malware, social engineering attacks, and organised criminal rings committing fraud is being used to attack retail and corporate accounts alike. The greatest risk of exposure lies in the weakest channel, where electronic compromise and/or social engineering is possible, widespread, and cannot be underestimated

Solution

BAE Systems NetReveal® Payments Fraud enables holistic protection against payment fraud by combining both monetary and non-monetary activity and information to derive more accurate account takeover fraud risk indicators. This proven solution provides broad coverage for cross-channel payments, automating interdiction to block fraudulent payments in real-time and minimise impact to your institution and its customers

Features

Provides detection for retail and corporate banking across remote banking, traditional banking, and emerging channels
Enhances real-time fraud controls at the payment engine, payment channel, or payment hub, providing monitoring and interdiction capabilities for multiple channels simultaneously
Monitors customer behaviour in all individual channels for suspicious activities, following account holders as they navigate and execute payments across payment channels
Identifies and detects risk inside and outside your institution, including account takeover and mule accounts, by combining machine learning analytics and profiling
Enables strong operational workflow controls with ability to integrate with core banking and payment systems and enterprise reporting to illustrate solution benefits and current operational state of play

Reduces investigation time and expense by automating transaction interdiction, incident assignment, event visualisation, and reporting
Supports rapid and independent response to evolving threats through adaptable self-administered white-box analytics capabilities
Includes pre-packaged, configurable components including; data acquisition, detection, enterprise investigation, real-time response, and reporting