Mastercard has launched Mastercard Threat Intelligence, the first threat intelligence solution applied to payments at scale.
It combines cybersecurity and fraud insights to help financial institutions detect and prevent payment fraud more effectively.
The platform integrates Mastercard’s global fraud data with threat intelligence from Recorded Future to help issuing and acquiring banks, as well as merchant compliance teams, identify and stop cyber-enabled fraud before losses occur.
Mastercard said payment fraud often begins as a cyberattack, yet 60% of global fraud leaders report they are notified of breaches only after losses begin.
The new tool bridges the gap between fraud and security teams, allowing them to share data and coordinate responses more efficiently.
The solution offers insights into card testing, digital skimming, and merchant vulnerabilities, along with regular reports on emerging payment threats.
It also provides payment intelligence reports featuring actionable case studies and fraud trend analysis to help institutions strengthen their defenses.
Developed less than a year after Mastercard’s acquisition of Recorded Future, the service enhances the company’s cyber threat analysis capabilities.
According to Mastercard, the solution has already helped partners identify and remove malicious domains linked to the theft of payment card data.
Over a six-month pilot, it uncovered threats affecting nearly 9,500 e-commerce sites linked to an estimated US$120 million in fraud.
Mastercard Threat Intelligence is now available globally to issuers and acquirers.
“As the lines between cybercrime and financial crime continue to blur, innovation is an imperative.
Mastercard Threat Intelligence provides customers with actionable, real-time and targeted risk insights to disrupt fraudulent transactions, inform strategic defense and ultimately enable a more proactive approach.”
said Johan Gerber, Global Head of Security Solutions at Mastercard.
Featured image: Edited by Fintech News Singapore, based on image by thanyakij-12 via Freepik
