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Detection of anomalies in critical financial infrastructure

Anomaly detection is a family of analytic techniques that learns typical properties of a system and reports significant deviations from the typical system’s properties as outliers. Anomaly detection is frequently used in state-of-the-art Intrusion Detection Systems (IDSs) because it can provide protection from new zero-day attacks whenever these attacks lead to deviations from typical behaviours […]

FINSEC Big Data Infrastructure

The usage of Big Data for security management represents a significant advance in terms of both methodology and technology for any service platform dealing with cyber and physical security, especially in the financial sector. The FINSEC platform is a layered microservice architecture specifically designed to manage alerts and incidents from different sensors within financial critical […]