What challenges did NetGuardians face before AI implementation?

Banks face increasingly sophisticated fraud types including account takeover, CEO fraud, and authorized push payment fraud. Manual detection methods lead to delayed identification and higher operational costs. Lack of centralized investigation tools slows down resolution times. High rates of false positives result in unnecessary client disruptions and resource drain.

What was the impact of the AI solution?

Reduced fraudulent transaction losses by up to 85% for deployed banks. Improved operational efficiency, cutting case resolution time by 40%. Decreased false positives by 30%, minimizing disruption to customers. Enabled real-time detection and prevention of multiple fraud vectors.

Source

MicrosoftLive source

NetGuardians bolsters banking fraud prevention via Microsoft Azure

Use case typeFraud detectionUpdated Jun 13, 2026

NetGuardians, a Swiss FinTech company, has partnered with Microsoft to provide its AI-driven fraud prevention software on the Azure platform. This solution helps banks tackle various fraud types, enhancing operational efficiency through advanced AI tools.

Organization: NetGuardians
Industry: Finance
Location: Switzerland
Published: January 2017

Reported outcomes

−85%

quantified impactRisk, reliability & safety

+40%time−30%quantified impact

Strategic outcomes

Risk & complianceStrengthened banking fraud preventionNew product / capabilityAdded AI-driven fraud detection and case managementSpeed & agilityEnabled real-time fraud detection and preventionCustomer experience & trustReduced customer disruption from false positives

Catalog median for risk, reliability & safety deployments: −63% across 24 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 5

1AI-powered detection of authorized push payment and invoice fraud
2Automated money mule recognition and notifications
3End-to-end case management for high-risk transactions

Banks face increasingly sophisticated fraud types including account takeover, CEO fraud, and authorized push payment fraud.
Manual detection methods lead to delayed identification and higher operational costs.
Lack of centralized investigation tools slows down resolution times.
High rates of false positives result in unnecessary client disruptions and resource drain.

Deployed NetGuardians' AI-driven fraud prevention platform on Microsoft Azure.
Integrated advanced fraud detection use cases such as high-risk transaction monitoring and money mule activity alerts.
Implemented end-to-end case management and automated risk scoring within the solution.
Leveraged Azure AI to continuously refine detection algorithms and enhance investigation workflows.

Technologies

Azure AI