MLEP in KICS for Networks 5.0: how machine learning helps track network behavior of OT devices
Kaspersky details how its MLEP engine in KICS for Networks 5.0 applies ML to OT asset discovery and anomaly detection—useful as a reference architecture for ML-driven ICS monitoring.
Summary written by editorial AI · Source link below
We explain how Kaspersky Industrial CyberSecurity for Networks uses Machine Learning Event Processor (MLEP) technology to help take inventory of assets and detect anomalies in industrial networks.
Editorial Analysis
As EU critical-infrastructure operators face NIS2 obligations to monitor OT networks, ML-driven anomaly detection approaches like MLEP offer a benchmark for evaluating monitoring capabilities.
Assess your OT monitoring stack against the ML-based anomaly-detection capabilities described and identify coverage gaps.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at Securelist (Kaspersky) in a new tab.
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