AI-Powered Cybersecurity for Critical Infrastructure & OT/ICS | NVIDIA

As operational technology (OT) environments – the networks controlling critical infrastructure like energy grids, manufacturing plants, and transportation systems – become increasingly connected, they also become more vulnerable to cyberattacks. Unlike traditional IT systems focused on data, OT systems directly control physical processes, meaning a successful cyber incident can have immediate and potentially devastating real-world consequences. Now, a collaboration led by NVIDIA aims to bolster OT cybersecurity by embedding AI-powered threat detection and response directly into these systems.

The challenge lies in the fact that many OT systems were designed for reliability and longevity, not modern cybersecurity threats. These legacy systems often lack the defenses needed to withstand sophisticated, adaptive attacks. Even as OT environments modernize with increased automation and connectivity, they often remain ill-equipped to handle the speed and complexity of contemporary cyber warfare. NVIDIA is addressing this gap through partnerships with key players in the cybersecurity and industrial automation spaces, including Akamai, Forescout, Palo Alto Networks, Xage Security, and Siemens.

This isn’t simply about bolting on existing IT security solutions. The approach emphasizes a fundamental shift: embedding security *into* the infrastructure itself, enforcing it at the edge – closer to the physical processes being controlled – and coordinating defenses through centralized, AI-driven intelligence. This distributed model aims to provide real-time threat detection and response capabilities tailored to the unique demands of OT environments.

Zero Trust for the Industrial Edge

A central component of this effort is the application of the “Zero Trust” security model to OT. Zero Trust operates on the principle of “never trust, always verify,” requiring continuous authentication and authorization for every user, device, and workload, regardless of location. While Zero Trust has gained traction in IT, its implementation in OT has been historically difficult due to the presence of legacy devices, proprietary protocols, and the need to avoid disrupting safety-critical operations.

Forescout is working with NVIDIA to overcome these hurdles. Forescout provides continuous, agentless discovery and classification of assets – OT devices, IoT sensors, and IT systems – delivering real-time risk assessment and policy enforcement. This visibility allows for network segmentation, isolating critical systems and limiting the potential spread of attacks without impacting operational processes. Crucially, NVIDIA BlueField Data Processing Units (DPUs) play a key role at the industrial edge, running security services on dedicated hardware. This hardware isolation ensures that security functions don’t interfere with the performance of critical operational systems.

Siemens and Palo Alto Networks Embed Security into Automation

Industrial automation environments prioritize consistent performance, low latency, and high availability. Traditional IT security tools often struggle to meet these demands. Siemens is addressing this with its AI-ready Industrial Automation DataCenter, a unified platform consolidating decades of automation expertise. By integrating NVIDIA BlueField, Siemens aims to deliver a zero-trust solution specifically tailored for the demands of industrial automation.

Palo Alto Networks’ Prisma AIRS AI Runtime Security further enhances this protection. By running security services on NVIDIA BlueField, Prisma AIRS provides deep visibility into industrial traffic and continuous monitoring for anomalous behavior directly at the infrastructure level. This AI-powered approach strengthens security coverage and minimizes disruption to operations.

Akamai Extends Segmentation with NVIDIA

Akamai Technologies has extended its Guardicore Platform to run on NVIDIA BlueField, enabling agentless segmentation. This allows for the isolation of applications, devices, or workloads into tightly controlled security zones without requiring agents that may be incompatible with legacy OT systems. Segmentation is enforced at full network speed directly within the infrastructure, minimizing latency and ensuring the smooth operation of time-sensitive workloads.

Xage Security Protects the Energy Infrastructure

As AI becomes increasingly reliant on consistent power, securing the energy infrastructure that supports it is paramount. Xage Security is collaborating with NVIDIA to bring zero-trust security to both energy infrastructure and the AI systems it powers. The companies are demonstrating a new integration running on NVIDIA BlueField, showing how zero-trust enforcement can be embedded directly into energy and AI infrastructure environments. Xage already protects a significant portion of U.S. Midstream pipeline infrastructure and works with utilities globally, and this collaboration aims to expand that protection.

The common thread across these initiatives is a consistent OT cybersecurity architecture. Security services run at the edge on NVIDIA BlueField DPUs, close to the protected systems. OT data generated at the edge is sent to centralized AI factories for analysis, identifying patterns and emerging threats. Security actions are enforced locally at the edge, while insights are shared centrally, creating a coordinated defense that improves visibility, accelerates response, and scales protection consistently across OT and IT environments.

This collaborative effort represents a significant step towards a new standard for securing critical infrastructure, one where AI-driven protection and operational excellence work in tandem. The solutions developed through these partnerships are available through a global ecosystem of trusted partners. Attendees at the S4x26 security conference, running February 24–26 in Miami, can see these technologies in action.