Play video
Schedule a demoRequest a callAI technology developed for banks to detect and prevent
fraud in real time.
Read press releaseNetGuardians is recognized as a leading anti-fraud solution in 2018
Chartis Risktech Quadrant® for Enterprise Fraud Technology
Real-time API scoring of all customer and employee transactions across the payment channels, SWIFT and other networks.
User behavior analytics and machine learning detect new cyber and internal fraud threats. You stay on top of banking fraud schemes protecting your customers.
Machine learning algorithms keep false positives to a minimum ensuring the frictionless customer experience.
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.
Investigate hits
Unusual amount
Unusual client browser and device location
Our AI models do all the heavy lifting. Built to detect banking fraud, they monitor all the relevant variables to spot and flag suspicious behaviors attached to any transaction. Alerts can be easily investigated by business users.
The more we use NetGuardians the more we realize what we can do with it
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 artificial intelligence helps banks to fight fraud
Global risk score
Transaction information
High risk variables
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.
Customer success story – Commercial Bank of Ethiopia
Stop eBanking/mBanking session transactions redirected by malwares, hijacked by remote hackers, taken over by identity theft, etc.
Stop fraudulent transactions due to social engineering or scams such as invoice scam, CEO fraud, etc. Meet PSD2 and SWIFT CSP requirements.
Prevent internal banking fraud due to employee collusion, internal-external collusion, internal controls bypass by client advisors, etc.
Financial fraud and cyber-crime: New horizons in financial crime prevention (Asia)
AI in Finance: Preparing for the Bank of the Future, Manila, 21 February 2019February 7, 2019 - 9:16 am
Meet NetGuardians at Finastra Universe Frankfurt and Paris, February 2019January 29, 2019 - 4:43 pm
NetGuardians at the AFRICA BFSI Innovation Summit 2019, 19-20 February, Nairobi, KenyaJanuary 29, 2019 - 2:36 pm
