Our AI risk models stop fraud before the money leaves the bank. Discover examples of the fraud cases we’ve successfully prevented across the globe. These include BEC fraud, social engineering, scams, CEO fraud, fake invoices, account takeover, authorized push payment, internal fraud, and many more.
NetGuardians raises CHF 17m to fight fraud; investors include Pictet Group and ACE & Company
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 has been included in Gartner’s 2020 Online Fraud Detection Market Guide as a representative vendor with a focus on banks and the financial sector.
NetGuardians has been recognized in Forrester’s 2020 Asia Pacific report on the best enterprise fraud management (EFM) vendors for financial services providers.
NetGuardians has been included in the Chartis RiskTech100® 2021 report for its real-time fraud-mitigation software for the third time.
Our AI models do all the heavy lifting. Built to detect banking fraud, our predefined risk models do not focus on an ever-changing list of potential fraud scenarios, but on behaviors of employees and customers to spot unusual transactions.
The more we use NetGuardians the more we realize what we can do with it
Stop eBanking/mBanking session transactions redirected by malware, 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.
July 02, 2020
As fraudsters increasingly use fake websites, emails, invoices and companies to defraud the public, banks should look at the record of AI to help them protect themselves and their customers.
Joël Winteregg
March 19, 2020
Asian and European digital payments markets might appear quite different, but their problems are the same – fraudsters stealing billions. NetGuardians’ state-of-the-art technology can assess risk in real time, block suspicious transactions and help educate customers.
Peter Marini – Dieter Lüscher – Sandy Lavorel
October 15, 2019
Research suggests that banks in Asia are failing to invest in fraud mitigation – even though fraud continues to rise and many authorities are beefing up their regulations.
Sebastian Aldeco
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 amPress release – NetGuardians recognized as one of the top 100 players in risk technology worldwideDecember 10, 2020 - 7:28 am
