CMC Global

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CMC Fraud Detection

Leverage the power of Machine Learning and Cyber Intelligent to secure digital experience

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Technologies

Data storage, mining and parallel computing technology:

Hadoop HDFS
Hive
Spark

Anomaly detection technology using unsupervised machine learning:

Isolation Forest
Symbolic Aggregate approXimation (SAX)
Clustering-based
Principal Component Analysis (PCA) based
Local Outlier Factor
One-class SVM

Anomaly detection technology using supervised machine learning:

Deep Neural Network Models (RNN, LSTM, Inception,…)
Support Vector Machine
Random Forest
XGBoost
LightGBM

Ensure you are prepared to step ahead fraudsters

0 %
of consumers say security is still the most important factor when deciding to engage with a business
0 %
of businesses claim to be confident in their ability to identify and re-recognize their customers
0 in 5
businesses say fraud has increased in the past 12 months
0 %
of consumers want more control over the use of their data

from Experiance, 2020 Global Identity and Fraud Report

As the industry changes rapidly, fraud tactics witness a significant shift. Thus, it is vital to make sure that you are steps ahead of fraudsters.

How we help you to build a Successful Management Program

Data Footprint

1

Machine Learning Technologies

2

Behavioral Intelligence

3

INTERESTED IN OUR
FRAUD DETECTION SOLUTION ?

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DISCUSS YOUR FUTURE PROJECTS

If you have any questions about how our solutions will shape your future projects, don’t hesitate to drop us an email and have a talk!