Today, industrial plants and critical infrastructure sites can be easily attacked by cyber criminals.
Their locations can be minimally staffed, yet multiple third-party vendors need remote access to the ICS/SCADA networks in order to maintain equipment control regimes. Dozens of proprietary systems make managing patch updates an onerous task.
By introducing Software Technologies based on Machine Learning we can avoid misconfigurations and protect from cyber attacks that threathen to discontinue or downgrade the production process.
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Asset discovery, visibility, profiling, classify and tracking
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Network based security and segmentation
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Anomaly detection and Vulnerability Management
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Access control
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Endpoint protection
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Security Governance & Risk Management (discovery thorough audit)
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