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1. #REAL TIME COMMODITY RISK ENGINE MACHINE LEARNING UPDATE#
2. #REAL TIME COMMODITY RISK ENGINE MACHINE LEARNING ISO#

Happy INETCO Insight® and INETCO Analytics® partners and customers include some of the world's largest companies spanning the banking, payment services and retail industries. INETCO's proven solutions are currently deployed in over 50 different countries.

Areas of expertise include payment data acquisition, transaction-level monitoring and machine learning capabilities designed to help IT operations, fraud management, and line of business teams improve profitability, reduce risk of fraud attacks and deliver an amazing customer experience. INETCO® builds smart technology that makes real-time transaction data workable for customer journey insights, operational performance, and early warning fraud detection and prevention. To learn more about INETCO Insight 7, attend an upcoming online demo session on Tuesday, October 1st at 11AM SGT | 1PM EDT | 2PM BST, or contact INETCO

#REAL TIME COMMODITY RISK ENGINE MACHINE LEARNING ISO#

If there has been malware placed on a system that overrides existing fraud controls and is responsible for a "man-in-the-middle" or an ATM cash-out type of attack, financial institutions and processors will instantly know when a front-end ISO transaction is not married with a back-end database transaction, or if there have been modified fields in the request/response message. Multi-link correlation capabilities provide a one-stop view into the entire round trip transaction path, making it easy to audit every end-to-end payment transaction journey independently of the payment switch. All the various message fields, metadata, response/request timings and network communications information contained within each transaction are automatically parsed out, making it possible to leverage this data for immediate investigation, adaptive behavioral analytics and forecasting. Rich contextual information related to each payment transaction is independently captured - straight off the network and in real-time - while remaining out of band so that no delays or points of failure are introduced.

#REAL TIME COMMODITY RISK ENGINE MACHINE LEARNING UPDATE#

INETCO Insight 7 also removes the common challenge associated with acquiring real-time data across disparate data stores, multiple channels and different data update frequencies. "The result is more precise risk scores for all types of card-present and card-not-present transactions, a streamlined escalation process and less customer friction." "Real-time transaction risk scoring on an individual customer basis is a game changing advancement from existing approaches that only rebuild customer models as part of a scheduled batch ETL (extract, transform and load) process," says Ugan Naidoo, CTO of INETCO. Payments data is continuously fed into a rules-based alerting engine and an adaptive machine learning model that examines transactions in real-time, rebuilds individual customer risk models on the fly, and extracts behavioral patterns from past card transactions that signal potential fraud. INETCO Insight 7 instantly screens for transaction behavioral anomalies such as EMV fallbacks or reversal rates, high withdrawal velocity, abnormal numbers of high-value transactions and suspicious repeat card usage at specific ATM or POS terminal locations. Real-time detection of "man-in-the-middle" attacks, cash-out attacks and increased security of the payments switch.Real-time transaction risk scoring, payment outlier detection and the blocking of offending card transactions at the IP or firewall level.