ARTIFICIAL INTELLIGENCE: An Emerging Catalyst for Cyber Security

Telecommunication companies use machine learning algorithms to detect fraudulent activity such as theft
or fake profiles, and illegal access, among other activities. Algorithms learn “normal” activity, which allows
IT security to spot anomalies with huge data sets. Organizations gain near real-time response to suspicious
behaviors.6 Similarly, banks are upgrading and overhauling traditional fraud and cyber security threat
detection with AI-based technology. Improved anomaly detection that identifies abnormalities in a dataset
can speed up fraud detection and prove more cost effective.7