NVIDIA is collaborating with major cybersecurity and industrial technology providers to strengthen the protection of critical infrastructure through accelerated computing and artificial intelligence, expanding the reach of its NVIDIA AI cybersecurity platform. As industrial control systems and operational technology environments become more connected to enterprise and cloud networks, security teams face growing exposure to advanced cyber threats that can affect energy, manufacturing, and transportation systems.
Partners, including Akamai Technologies, Forescout Technologies, Palo Alto Networks, and Siemens, are integrating NVIDIA accelerated computing platforms into cybersecurity architectures designed for industrial environments as part of the broader NVIDIA AI cybersecurity platform strategy. These efforts focus on embedding security directly into infrastructure layers while maintaining operational continuity.
Zero Trust And Edge-Based Enforcement In Industrial Systems
Industrial control systems were originally designed for reliability and longevity rather than modern cyber threat defense. As connectivity expands, many of these environments must defend against adaptive attacks that evolve rapidly. Applying zero trust principles in such settings has been challenging due to legacy devices, proprietary protocols, and performance requirements.
Zero trust removes implicit trust from networks by requiring continuous verification of users, devices, and workloads. While widely adopted in enterprise IT, implementing it in operational technology has required new approaches that avoid disrupting sensitive processes.
Forescout is working with NVIDIA to make zero trust practical in operational environments by combining asset visibility, continuous monitoring, and policy enforcement under the NVIDIA AI cybersecurity platform framework. Through network segmentation, threats can be contained without interrupting industrial processes.
At the infrastructure level, NVIDIA BlueField data processing units run security services on dedicated hardware. By isolating inspection and enforcement from operational systems, organizations can maintain performance and availability. This approach allows security controls to function close to the workloads they protect.
Akamai has extended its Guardicore platform to operate on NVIDIA BlueField, enabling agentless segmentation within industrial and edge environments. Segmentation policies can be enforced directly at network speed, helping contain threats without introducing latency or affecting workloads sensitive to time.
Prisma AIRS AI Runtime Security, from Palo Alto Networks, also operates on NVIDIA BlueField, contributing to the NVIDIA AI cybersecurity platform. Inspecting industrial traffic at the infrastructure layer provides continuous monitoring for abnormal behavior and strengthens visibility across connected environments.
AI Coordinated Defense Across Distributed Infrastructure
At industry events such as S4x26, Siemens is demonstrating an industrial automation data center architecture designed to integrate computing, data archiving, disaster recovery, and cybersecurity into a unified platform. Through integration with NVIDIA BlueField, the system supports AI ready security capabilities tailored for industrial automation requirements.
Security services run locally at the edge, where operational data is generated. Relevant telemetry is then sent to centralized AI systems for broader analysis. By correlating data across multiple sites, organizations can identify patterns, anomalies, and emerging threats more effectively. Insights generated centrally are translated into enforcement actions applied at the edge, creating a coordinated defense model.
Energy infrastructure has become a focal point as artificial intelligence workloads expand. Protecting the systems that power digital operations requires cybersecurity approaches designed specifically for operational technology. Xage Security is collaborating with NVIDIA to integrate distributed identity-based controls into energy and industrial systems using BlueField hardware. This integration supports secure management of assets and third-party access without compromising reliability.
The broader architecture reflects a shift toward embedding AI inspection and enforcement directly within infrastructure components through the NVIDIA AI cybersecurity platform. By combining hardware protection at the edge with centralized analytics, organizations can improve detection speed, contain threats more rapidly, and maintain uptime across distributed industrial networks.
NVIDIA previously introduced its cybersecurity AI platform at S4x25, where partners such as Armis, Check Point, CrowdStrike, Deloitte, and World Wide Technology integrated capabilities to enhance real-time threat detection for critical infrastructure. The continued expansion of these collaborations signals a growing focus on AI defense strategies for operational technology environments.
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