MDR, powered by Eos.ii™, helps secure the energy transition for small and medium-sized energy companies from the increasing threat of cyberattacks
The service’s Eos.ii technology platform and OT security operations center monitors and detects potential cyberthreats in real-time
Siemens Energy today announced a new artificial intelligence (AI)-based industrial cybersecurity service, Managed Detection and Response (MDR), powered by Eos.ii, to help small and medium-sized energy companies defend critical infrastructure against cyberattacks. MDR’s technology platform, Eos.ii, leverages AI and machine learning methodologies to gather and model real-time energy asset intelligence. This allows Siemens Energy’s cybersecurity experts to monitor, detect and uncover attacks before they execute. Armed with actionable insights from MDR’s technology platform, Siemens Energy’s cybersecurity experts implement precise defense measures in the company’s state-of-the-art operational technology-security operations center (OT-SOC) to defend power generation, oil and gas, renewable energy, and transmission and distribution customers.
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“As the digital revolution transforms the energy industry, industrial operating environments are becoming increasingly vulnerable to cyberattacks,” said Leo Simonovich, Head of Industrial Cybersecurity at Siemens Energy. “MDR, powered by Eos.ii, is the first AI-driven cybersecurity monitoring solution to proactively detect and prevent cyberattacks targeting critical infrastructure for all operating environments before attackers strike.”
With the industrial cybersecurity expertise and proprietary detection technologies from Siemens Energy, MDR is able to collect raw information technology (IT) and operational technology (OT) data from across an industrial operating environment, and then translate – and contextualize – it in real time.
This provides a unified picture of anomalous behavior for defenders with actionable insights to stop attacks. Siemens Energy’s MDR system goes beyond conventional monitoring by achieving a deeper understanding of how digital systems relate to the real world. With its unified OT and IT data