Siemens Energy and ServiceNow respond to cyber threats
Germany, Munich: Siemens Energy on 11 May announced a collaboration with ServiceNow.
Image source: Siemens Energy
Germany, Munich: Siemens Energy on 11 May announced a collaboration with ServiceNow.
The companies plan to create a unified software service offering enabling energy companies to monitor, detect and respond to cyber threats targeting digitally connected critical infrastructure.
The new solution brings together Siemens Energy’s AI-based software from its Managed Detection and Response (MDR), powered by Eos.iiTM, service to provide visibility and context across industrial operating environments with ServiceNow’s Operational Technology Management (OT Management) systems to connect cyber threats and digital workflows that allow analysts to quickly assess, prioritize and act against events in the field. The unified software solution creates a detection engine and workflows that streamline operations for cybersecurity analysts to monitor anomalous or malicious behaviour in Security Operations Centers (SOC), and energy plant operators to act on credible threat intelligence at machine speed.
“Most energy companies struggle with the complex technological and economic challenges involved in monitoring, detecting and preventing cyberattacks on critical infrastructure. Our MDR, powered by Eos.ii, solution, is the first AI-based platform built to provide visibility and context across the energy industry’s digital operating environment in time to stop attacks,” said Leo Simonovich, head of Industrial Cybersecurity at Siemens Energy. “Leveraging Eos.ii’s monitoring and detection software with ServiceNow’s digital workflows will help turn cyber threat intelligence into action so plant operators can respond to incidents with precision defence at machine speed.”
Siemens Energy’s MDR system provides a unified picture of anomalous behaviour for defenders with actionable insights to stop attacks. With its unified OT and IT data stream, MDR’s Eos.ii technology platform uses AI and digital twin technology to compare billions of real-time data points against a correctly functioning asset. This provides context for Siemens Energy’s analysts to determine not only which events are abnormal, but which are consequential. The technical achievement of unified data streams and machine learning make an unprecedented platform for targeted, in-depth analysis.
Source: Siemens Energy