Remote maintenance of system components is a part of everyday life in companies in the automation industry. But the resulting openness of the control networks and corporate networks means increased susceptibility for manipulation and infection.
Common security devices, such as VPN gateways or firewalls, can not reliably prevent malicious software from being penetrated by the remote maintenance personnel or misappropriating the access. Such irregularities and disturbances can be prevented with self-learning anomaly detection. Deep packet inspection also allows forensic root cause analysis.
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