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The PJSC TANECO oil refinery in Russia uses Kaspersky MLAD to monitor complex industrial processes. At the strategic CDU-VDU-7 facility, MLAD analyzes telemetry data to detect anomalies and provide early warnings. After training on historical data, MLAD went live in 2018 and has detected issues like incorrect sensor readings. TANECO now has automatic alerts for potentially dangerous situations and tools for interpreting anomalies.

Read the full case study to learn how MLAD’s machine learning gives TANECO transparency into its most critical operations.

Vendor:
Kaspersky
Posted:
Feb 29, 2024
Published:
Mar 1, 2024
Format:
HTML
Type:
Case Study

This resource is no longer available.