Today, tools like Security Incident and Event Management (SIEM), Network Behaviour Anomaly Detection (NBAD), Data Leakage Prevention (DLP), etc are available which provides deep visibility into operations and quickly detect a security breach. Besides, one approach being increasingly adopted by banks – apart from procuring tools and having rules – is following the age-old and time tested method of using analytics.
We have all read about the advantages of Big Data and Big Data Analytics. While this is more often used for business development and customer behaviour analysis and customer preferences, there is scope of using this for mapping general customer behaviour patterns and whenever there is an exception or an outlier, the computer system could trigger a warning.