Predator

Transaction Fraud Management with Predator

Predator is a transaction fraud and compliance risk management platform that monitors customer transactions across channels to protect both your business and customers from financial crimes.

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Awards & Recognition

Chartis RiskTech Quadrant 2021 - Enterprise Fraud Solutions

Recognised as Category Leader for Enterprise Fraud Solutions.

Forrester Now Tech Report - Large-size APAC EFM Provider 2020

Listed as Enterprise Fraud Management player in Forrester Now Tech APAC, Q4 2020 Report

Asia Risk Awards 2020

Winner: Cyber Risk Solution of the Year

Trusted by over 20,000 companies

Effective payment and transaction fraud prevention

Designed for today’s fast-evolving business landscape, Predator enables the quick roll-out of new payment and transaction service channels, while mitigating fraud and compliance risk. Predator helps you keep up with evolving transaction fraud typologies by detecting anomalies in customer behavioural patterns through ongoing monitoring and use of machine learning.

Watch the video and discover our leading digital transaction fraud prevention solution, designed to tackle today's fast-evolving fraud head-on.

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Benefits

Prevent transaction fraud across channels

Set up new channels, including ATMs, credit cards, digital wallets, and internet banking, ready with financial crime protection. Offer your customers a safe yet frictionless transaction experience, while staying compliant.

Detect emerging fraudulent transactions

Identify unknown fraud typologies and potential money laundering activities effectively by using machine learning to recognise anomalies and suspicious transaction patterns.

Enhance detection with account and device intelligence

Detect potential risk indicators by leveraging intelligence derived from ongoing monitoring of customer account activities, and the mobile or computer device used for the transaction.

Improve operational efficiency

Enable real-time decisioning and automated alert responses, while improving fraud detection performance, increasing accuracy, and reducing false positives using machine learning.