Siemens Energy's Eos.ii™ technology helps energy companies and protects against the growing threat of cyberattacks
Siemens Energy announces a new artificial intelligence (AI)-based industrial cybersecurity service, the Managed Detection and Response (MDR), powered by Eos.ii technology to help small and medium-sized energy companies defend their critical infrastructure against cyberattacks. MDR's technology platform, Eos.ii, leverages AI and machine learning methodologies to gather and model energy asset intelligence in real time, which enables Siemens Energy's cybersecurity experts to monitor, detect and reveal attacks. before they are executed.
Using actionable information provided by the MDR technology platform, Siemens Energy's cybersecurity experts implement precise defense measures in the security operations center and operational technology (OT-SOC) of companies, to protect the activities of generation customers energy, oil and gas, renewable energy, transmission and distribution.
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“As the digital revolution transforms the energy industry with new technologies that improve efficiency, reduce costs and lower emissions, industrial operating environments are becoming increasingly vulnerable to cyberattacks. The complexity of securing physical and digital network operations in today's energy ecosystem is often too costly, prohibitive and technologically challenging for most SMBs to identify anomalous behavior and prevent a cyber-attack in real-time,” says Leo Simonovich, Head of Industrial Cybersecurity at Siemens Energy. “MDR is the first AI-powered cybersecurity monitoring solution to help all energy companies proactively detect and prevent cyberattacks targeting critical infrastructure. Combined with Siemens Energy's industrial cybersecurity expertise, our MDR service helps provide energy companies with the context and visibility needed to reveal attackers before they strike, utilizing the Eos.ii technology platform.”
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With Siemens Energy's expertise in industrial cybersecurity and proprietary detection technologies, MDR is able to collect raw information technology (IT) and operational technology (OT) data from an industrial environment, translating and contextualizing it into 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, achieving a deeper understanding of how digital systems relate to the real world. With its unified OT and IT data stream, the 'Eos.ii' MDR technology platform uses AI and dual digital technology to compare billions of data points in real time against a properly functioning asset. This provides context for Siemens Energy analysts to determine not just which events are abnormal, but which are consequential. The technical achievement of unified data streams and machine learning create an unprecedented platform for detailed and targeted analytics.
Siemens Energy's MDR solution addresses the energy industry's need for more sophisticated solutions to put security experts ahead of attackers, as each digitally connected energy asset represents a new potential vulnerability for attackers to attack. Energy and utility companies are increasingly becoming a prime target for cyber-attacks by state and non-state actors, who launch sophisticated dispersion, sleeper and ransomware attacks against energy and critical infrastructure, whether in geopolitical conflicts or wider opponents.
In 2019, the Ponemon Institute and Siemens Energy conducted a joint study surveying global utilities to assess industry readiness to address the growing threat of cyberattacks. The study found that 64% of respondents stated that sophisticated attacks are the top challenge, and 54% of respondents expected an attack on critical infrastructure within the next 12 months. Furthermore, 25% of respondents reported being affected by “mega attacks” with expertise developed by nation-state actors.
This original press release in English, photos and additional material are available at www.siemens-energy.com/press