NetGuardians is recognized as one of the top vendors
in Gartner’s Online Fraud Detection Market Guide.

DETECTION MARKET GUIDE

GARTNER 2020 ONLINE FRAUD

NetGuardians is recognized as a “Category Leader”
in Chartis’ 2021 Enterprise Fraud Report Quadrant.

ENTERPRISE FRAUD REPORT

CHARTIS 2021

NetGuardians raises CHF 17m to fight fraud;
investors include Pictet Group and ACE & Company.

CHF 17M

NETGUARDIANS RAISES

Award-winning 3D artificial intelligence (3DAI) technology for fraud prevention

Ready-to-go solutions for real-time fraud prevention

Digital banking fraud

Stop fraudulent payments initiated from different attacks such as hijacking of digital banking session, malware or identity theft from hackers.

Payment fraud

Stop fraudulent payments due to social engineering or scams such as invoice scam, CEO fraud. Meet Open Banking, PSD2 and SWIFT CSP requirements.

Internal fraud

Prevent internal fraud schemes such as employee collusion, internal-external collusion, and internal controls bypass.

Ready-to-go AI risk models

Stop fraud from day one.

We democratize AI for fraud prevention with ready-to-go models. No need for data science skills, lengthy and complex data science projects.

Unrivalled Efficiency

77% cost savings on fraud prevention operations.

Reduce the number of payments to block by 83% while increasing the fraud detection rate to 98%. Protect your customers and ensure the best customer experience.

Seamless integration

Pre-integrated with major banking software providers such as Avaloq, Finacle, Finastra, Temenos, Mambu and more.

No need for cumbersome and time-consuming integration projects within your organization. Get it easily in the cloud or on premise.

Collective intelligence

Use NetGuardians’ community data to enhance your fraud prevention.

Enlarge your data universe by being part of NetGuardians’ collective intelligence service.

Retail banking

NetGuardians helps retail banks worldwide efficiently monitor all their payment transactions to protect their customers from fraud. We provide such fraud detection precision that the bank can still deliver a frictionless customer experience.

Private banking

Major private banks and wealth managers rely on NetGuardians’ AI-based solution to prevent fraud in real time. We provide our customers with explainable AI so they can easily make sense of fraud hits and even educate their customers.

Digital banking

Digital banks need to manage fraud with agility and efficiency. Leveraging NetGuardians’ ready-to-implement AI risk models, digital banks benefit from rapid launch and full protection against ever-evolving fraud schemes.

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Recognition

Discover more here

Gartner

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.

Forrester

NetGuardians has been recognized in Forrester’s 2020 Asia Pacific report on the best enterprise fraud management (EFM) vendors for financial services providers.

Chartis

NetGuardians has been included in the Chartis RiskTech100® 2021 report for its real-time fraud-mitigation software for the third time.

Our partners – embedded fraud prevention

NetGuardians’ software is specifically designed to help banks detect and prevent fraud. Our software is embedded into the banking platforms of major vendors such as Finastra, Avaloq, Mambu and Finacle and is available on premise and in the cloud.

On premise

Cloud

Ready-to-run AI risk models

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

Tauch KampoulVP and Head of Security Operations - Acleda Bank

Download case study

Unrivalled fraud detection

NetGuardians’ fraud-mitigation software is proven to offer unrivalled fraud detection. When run over a bank’s historic data, it found more fraud cases with fewer false-positive alerts than traditional fraud-mitigation processes. It cuts risk, cuts investigation time, and cuts fraud losses.

Get the case study

118% fraud detection

compared with traditional fraud-mitigation processes

77% cost savings

on fraud prevention operations.

83% reduction

in the number of false positives

93% less time

spent investigating frauds

White papers

Digital Banking Fraud: Best Practice for Technology-Based Prevention

Digital banking fraud best practices for technology based prevention

Enterprise Payment Fraud: Why banks need a smarter approach to AI

A-Z of Internal Banking Fraud

Blogs

April 08, 2021

Global Financial Sector Fraud and how NetGuardians leverages AI and ML to Help Banks Fight Back

There are no precise numbers available but estimates for global financial sector fraud in all its manifestations might, many believe, run into the trillions of dollars when factoring in internal fraud, external fraud and cyber-crime.

Roy Belchamber

March 11, 2021

Stamp out internal banking fraud without undermining staff trust

Software that focuses on transactions rather than staff behavior to spot and stop internal fraud avoids the problem of personalizing fraud risk, which can demotivate staff and put off new recruits. What’s more, it’s better at preventing fraud.

Sandy Lavorel

February 23, 2021

2021: how banks can be smarter than the fraudsters this year

Banks running fraud-prevention software that incorporates collective artificial intelligence can cut fraud monitoring costs by 77 percent , helping them meet new regulations efficiently and effectively, and stop fraudsters in their tracks.

Joël Winteregg

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