문의하기 Data storage, mining and parallel computing technology:
Hadoop HDFS
Hive
Spark
CMC Fraud Detection
Leverage the power of Machine Learning and Cyber Intelligent to secure digital experience
Technologies
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
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
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FRAUD DETECTION SOLUTION ?