Israeli CyberX to Secure Deutsche Telekom's Critical Industrial Infrastructure

The CyberX platform reduces risk by continuously monitoring ICS networks for targeted attacks, ransomware, and industrial malware such as Black Energy

Illustration: Bigstock

CyberX, the industrial cybersecurity company protecting OT infrastructures worldwide, announced that it has been selected by Deutsche Telekom and T-Systems to help their customers continuously reduce risk from advanced cyberattacks on their critical industrial infrastructures. T-Systems chose CyberX after conducting a rigorous competitive evaluation of Industrial Control System (ICS), SCADA and IIoT security vendors. A major subsidiary of Deutsche Telekom, T-Systems is one of the largest European IT service providers, serving customers such as Daimler, Volkswagen, Royal Dutch Shell, and BP.

According to a recent Ponemon Institute survey, nearly 70 percent of organizations sampled suffered a security compromise over the past 12 months resulting in loss of confidential information or operational disruption in their OT environments. In addition, 59 percent of cybersecurity managers believe there is greater risk in OT than IT environments.

A range of diverse cyber-adversaries – including nation-states, cybercriminals, hacktivists, and malicious insiders – pose financial, reputational and regulatory risk to global industries such as electric utilities, manufacturing, pharmaceuticals, chemicals, oil & gas, energy and nuclear. The business impact can include costly production outages, catastrophic safety failures, and environmental release of hazardous materials, as well as theft of corporate IP such as sensitive information about proprietary manufacturing processes and product designs.

According to Gartner, "Operational technology (OT) systems are not always designed with cybersecurity in mind and can be vulnerable to disruption … By 2020, spending on OT security will double due to increasing attacks on critical industrial infrastructure and subsequent regulatory responses."

The challenge is compounded as industrial organizations adopt digitization initiatives such as Industry 4.0 and Smart Grid to optimize their operations. These modernization initiatives further increase risk by creating a larger attack surface from massive numbers of new IIoT devices and the convergence IT and OT networks to support Big Data analytics and real-time intelligence.

"We selected CyberX because of their innovative, best-in-class technology and world-leading expertise in industrial cybersecurity and threat intelligence,” said Dirk Backofen, Head of Telekom Security. “CyberX enables our customers to significantly reduce risk and strengthen their operational resilience, both today and as they implement new digitization initiatives. Our strategic partnership with CyberX enables us to offer a mature, field-proven solution that’s scalable and can be rapidly deployed.”

The CyberX platform reduces risk by continuously monitoring ICS networks for targeted attacks, ransomware, and industrial malware such as Black Energy. Purpose-built for OT cybersecurity, it incorporates patent-pending, machine-to-machine (M2M) behavioral analytics and proprietary ICS-specific threat intelligence to identity anomalous behavior in real-time. The platform provides deep network forensics for incident response with non-invasive risk assessment for top vulnerabilities such as unpatched ICS devices and unauthorized Internet connections to control networks.

"We're honored that Deutsche Telekom chose CyberX based on their rigorous requirements,” said Nir Giller, CTO and co-founder of CyberX. "Deployed in the world’s largest industrial environments and backed by military-grade cyber experts from the IDF, our platform serves an important mission in safeguarding our global economy, public safety and health. We look forward to partnering with T-Systems to protect against 21st-century threats worldwide."

The CyberX platform uses a non-intrusive, agentless approach that has zero impact on industrial networks and devices. It uses machine learning to reduce deployment time to less than an hour; supports any ICS vendor or industrial protocol; and easily integrates with existing environments using REST APIs, including with all major SIEMs.

 

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