Artificial intelligence company SparkCognition and German industrial giant Siemens have joined forces for an industrial security solution designed for the energy sector.
The new solution, named “ DeepArmor Industrial, fortified by Siemens,” combines SparkCognition’s AI-powered cyber defense solution DeepArmor with Siemens’ expertise in operational technology (OT) security to help organizations protect endpoints and remote assets.
The solution includes antivirus, threat detection, zero-day attack prevention, and application control capabilities for oil and gas, power generation, and transmission and distribution systems.
Siemens and SparkCognition say DeepArmor Industrial uses predictive AI to block unknown threats, it can secure unpatched legacy systems, allows organizations to implement a zero-trust whitelisting approach to protect fixed-function systems, and provides autonomous security for isolated industrial networks as it does not require frequent updates.
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“Through our extensive work with the energy industry, we’ve seen the pain points and challenges the industry is facing right now,” said Sridhar Sudarsan, CTO at SparkCognition.
“The industry needs security solutions that can both operate autonomously and are designed with the modern industrial environment in mind. Together with Siemens, we are excited to bring next-generation endpoint protection that is specifically designed to increase the cyber resilience of OT networks and prevent advanced threat actors from impacting critical infrastructure,” Sudarsan added.
Studies published in recent years have shown that the energy sector is one of the most affected industries when it comes to vulnerabilities found in industrial control systems (ICS), and it’s one of the sectors most targeted by cyberattacks.
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Eduard Kovacs (@EduardKovacs) is a contributing editor at SecurityWeek. He worked as a high school IT teacher for two years before starting a career in journalism as Softpedia’s security news reporter. Eduard holds a bachelor’s degree in industrial informatics and a master’s degree in computer techniques applied in electrical engineering.
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