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Fraud & Security TRL TRL 9

Real-Time Transaction Fraud Detection

domain Client: Global Consumer Bank handshake Provider: Feedzai schedule Deploy: 12 Months
95 Impact
Enterprise Ready
Evidence Score: 8/10
Strength: Tier 2

Executive Summary

ANALYST: COI RESEARCH

Deployment of a machine learning-based risk management platform to monitor transactions in real-time across multiple payment rails.

rate_review Analyst Verdict

"Standard-setting deployment for real-time fraud prevention; critical for instant payment networks."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

As payment speeds increased with the advent of instant payment rails, sophisticated fraud attacks such as Authorized Push Payment (APP) scams and account takeovers were outpacing the bank's legacy rules-based engines. These older systems produced high rates of false declines, frustrating legitimate customers, and were too slow to intercept transactions in milliseconds. The bank needed a solution that could scale to handle massive transaction volumes without introducing latency.

psychology The Solution

The bank deployed an advanced RiskOps platform powered by machine learning to score transactions in real-time (milliseconds). The solution utilizes behavioral biometric profiling and hyper-granular data segments to establish a 'segment of one' for every customer. By analyzing thousands of data points—including device telemetry, location, and spending patterns—the model can accurately distinguish between legitimate anomalies and actual fraud, updating its risk models dynamically as new threat vectors emerge.

settings_suggest Technical & Deployment Specs

Integrations
Payment Switch, Core Banking
Deployment Model
On-prem/Private Cloud
Data Classification
Confidential (PII)
Estimated TCO / ROI
High infrastructure requirement
POC Summary (2018-01-01 to 2018-06-01)

"Wire transfer monitoring pilot."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
False Positives Medium Adaptive model retraining

trending_up Impact Trajectory

Audited value realization curve

Millisecond Response Time Verified Outcome
Primary KPIDouble-Digit Reduction in Fraud
Audit CycleOmnichannel Visibility

policy Compliance & Gov

  • Standards: PSD2, Fraud Reporting
  • Maturity (TRL): TRL 9
  • Evidence Score: 8/10
  • Data Class: Confidential (PII)

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 3
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Global Consumer Bank without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-340
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-340

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