Manipulations, Network Disruptions and Regulations
With the rising of remote controlled facilities the water supply and sewage industry is increasingly open to hacker attacks and network disruptions. Both technically induced and externally forced disturbances and changes in process parameters by cyber attacks can become a serious threat to supply security and public health.
Water and sewage plant operators face the challenge of securing their operations against any downtime risks.
Stable Processes by Gapless Cyber Security
Operators need to know what is happening within their network control technology to effectively protect their processes against professional threats, remote access misuse, and technical malfunctions. The consistent monitoring of all assets and communication incidents by means of an industrial anomaly detection ensures the report of any suspicious incident in real-time.
Thus operators of critical infrastructure (CI) can sustainably enforce the security of their public services and comply to legal regulations and standards as ISO 27002 ff.
Detect Network Anomalies in Real-Time
Rhebo Industrial Protector monitors, analyzes and visualizes all assets and the complete data traffic within your ICS as part of your defense-in-depth strategy. In real-time, the anomaly detection reports any communication of:
- known and unknown malicious code;
- professional cyberattacks (advanced persistent threats), internal sabotage and manipulation;
- technical network errors.
Specific industrial protocol types used in water companies are fully supported.
You always have clarity about potentially harmful communication processes in your network control technology. This allows you to react immediately to potential disturbances before your water treatment and transport processes are affected or downtimes occur.
OT Risk & Maturity Assessment
Risk and vulnerability analysis of your ICS and OT networks
Next Generation IDS for Water & Energy
OT monitoring and anomaly detection for water companies.
Case Study LWW
Vulnerability analysis and segmentation test at LWW.