How it works
See how we prevent your frauds
Learning from known behaviors
We’re different: We don’t stop fraud by focusing on the fraudsters. We stop it by getting to know the habits and behaviors of banks’ customers and staff so we can spot out-of-character financial transactions. While fraudsters constantly change their behavior to avoid detection, real customers form habits. By learning these habits and building up customer and staff profiles we can accurately spot suspicious activity and stop it – before any money has left the bank.
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Transaction score – Highlights the global risk score of the transaction
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Transaction information – All important information of the transaction
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Transaction score details – Unusual variables that lead to the blocking of the transaction
Explainable AI for business users
You don’t need to be a data scientist to make sense of AI algorithms. Easily understand why AI raises an alert with the full business context and run powerful forensics using intuitive investigation tools.
NetGuardians’ CTO Jérôme Kehrli explains how AI helps financial institutions to prevent banking fraud.
Smarter AI
Within the millions of transactions a bank processes each year there will be a small number of frauds. While traditional AI systems can be taught to spot these frauds, they will become experts only in these known frauds – overfitting. NetGuardians’ managed learning technology doesn’t endlessly learn about any given type of fraud. It prevents AI from continually diving down just a few avenues. This avoids overfitting and makes it smarter and more dynamic, able to spot new types of fraud.
How to overcome overfitting in machine learning based fraud mitigation for banks?
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Example of a team leader overview dashboard
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Selected timeframe
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Fraud mitigation performance
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Total amount of prevented frauds
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Impacted customers – Number of customers saved from being a fraud victim
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Total number of hits
Designed for banks
NetGuardians’ software is specifically designed to help banks detect and prevent fraud. Plugging directly into core banking systems via pre-defined connectors, it extracts, enriches and analyzes data, spotting and stopping significantly more fraud and reducing investigation time.
Beating Banking Fraud with NetGuardians’ Machine Learning Risk Platform
News
Live Webcast Finastra – Best Practices for Compliance and Fraud Prevention in a Real-time World, 27 January 2021January 13, 2021 - 11:03 am
Webinar Finastra – Retail Banking: Fraud & Financial Crime Prevention, 19th January 2021January 7, 2021 - 1:37 pm
Press release – NetGuardians raises CHF 17m to fight fraud; investors include Pictet Group and ACE & CompanyDecember 15, 2020 - 8:00 am
