NVIDIA Brings AI-Powered Cybersecurity to World’s Critical Infrastructure

Published: (February 23, 2026 at 11:00 AM EST)
6 min read

Source: NVIDIA AI Blog

The Growing Cybersecurity Challenge for OT & ICS

As technologies become more digitalized and globally connected, operational technology (OT) environments and industrial control systems (ICS)—spanning energy, manufacturing, transportation, and utilities—are increasingly reliant on enterprise networks and the cloud. This expands OT/ICS capabilities but also widens exposure to cyber threats.

Why OT Security Is Different

IT (Traditional)OT (Industrial)
Manages data and applicationsControls real‑world processes
Breaches affect confidentiality and integrityBreaches can cause immediate safety, availability, and continuity impacts
Designed for rapid change and patchingHistorically built for reliability and longevity, not for modern threat techniques
  • Many legacy OT/ICS assets were engineered for reliability, not for adaptive, software‑driven attacks that evolve in real time.
  • Even as OT environments adopt automation, connectivity, and analytics, they often lack the defenses needed to counter today’s sophisticated threats.

Accelerating OT Cybersecurity with AI & Accelerated Computing

NVIDIA is partnering with leading cybersecurity and industrial‑automation firms to embed AI‑driven, real‑time threat detection and response into critical infrastructure:

  • Akamai – Cloud security and edge protection
  • Forescout – Device visibility and network access control
  • Palo Alto Networks – Next‑generation firewalls and threat intelligence
  • Xage Security – Zero‑trust security for OT environments
  • Siemens – Industrial automation and digital twin expertise

These collaborations aim to:

  1. Embed security directly into OT infrastructure.
  2. Distribute protection to the edge where devices operate.
  3. Coordinate defense through centralized, AI‑powered intelligence.

The Shift in OT & ICS Cybersecurity

  • Security‑by‑design: Protection is built into hardware and software from the outset.
  • Edge‑first enforcement: Threats are detected and mitigated close to the source, reducing latency.
  • AI‑driven orchestration: Centralized analytics provide context‑aware responses across the entire OT landscape.

By integrating accelerated computing and AI, these efforts bring modern, adaptive cybersecurity to the systems that keep the physical world running safely and reliably.

Forescout and NVIDIA Bring Zero Trust to OT and ICS Environments

Zero trust is a security model that removes implicit trust from networks. Every user, device, and workload must be continuously verified and authorized, regardless of where it originates.

While zero trust has been widely adopted to secure enterprise IT environments, applying its principles to OT environments has traditionally been difficult. Legacy devices, proprietary protocols, and safety‑critical operations limit the use of intrusive controls or AI‑driven enforcement— even as increased connectivity to IT and cloud environments expands the attack surface.

How Forescout & NVIDIA Make Zero Trust Practical for OT

ForescoutNVIDIA
• Continuous, agentless discovery and classification of OT, IoT, and IT assets.
• Real‑time risk assessment and policy‑based enforcement.
• Network segmentation to contain lateral movement without impacting operations.
BlueField DPUs run security services on dedicated hardware.
• Keeps protection separate from operational systems, ensuring critical processes remain unaffected.
• Optimized for the industrial edge.

Key Benefits

  • Visibility: Deep insight into network activity across OT, IoT, and IT.
  • Control: Precise, policy‑driven enforcement of zero‑trust controls where they matter most.
  • Safety: No disruption to safety‑critical operations.
  • Scalability: Works with legacy devices and proprietary protocols.

For more information on NVIDIA BlueField DPUs, visit the official product page.

Siemens and Palo Alto Networks Embed Security Into Industrial Automation

Industrial automation environments demand consistent performance, low latency, and high availability—requirements that traditional IT‑security tools often struggle to meet.

Siemens S4x26 Security Conference

  • AI‑ready Industrial Automation Data Center – a unified, holistic solution that consolidates decades of cross‑industry automation expertise into one robust IT/OT platform.
  • Core edge‑data‑center elements
    • Virtualized compute
    • Data archiving & reporting
    • Resilient disaster‑recovery
    • Cybersecurity architecture compliant with IEC 62443
  • NVIDIA BlueField integration – enables a truly AI‑ready, zero‑trust solution tailored for the demands of industrial automation.

Palo Alto Networks – Prisma AIRS AI Runtime Security

  • Provides deep visibility into industrial traffic and continuous monitoring for abnormal behavior.
  • Runs security services on NVIDIA BlueField, allowing inspection and enforcement directly at the infrastructure level—closer to the workloads.
  • AI‑driven approach strengthens security coverage and drives greater operational uptime where it matters most.

Akamai Extends Segmentation to OT and ICS with NVIDIA

Akamai Technologies has expanded the Akamai Guardicore Platform to run on NVIDIA BlueField, delivering agent‑less segmentation—the ability to isolate applications, devices, or workloads into tightly controlled security zones—and enabling zero‑trust policy enforcement directly at the edge.

Key Benefits

  • No agents required – eliminates compatibility issues with legacy OT systems and safety‑certified devices.
  • Full‑speed enforcement – segmentation operates at native network speeds within the infrastructure, introducing no latency.
  • Edge‑centric protection – policies are applied at remote edge locations as well as centralized data centers.
  • Rapid threat containment – limits the spread of attacks, keeping mission‑critical operations running smoothly.

Xage Security Protects the Energy Infrastructure That Powers AI With NVIDIA

As AI scales into a pillar of critical infrastructure, securing the energy systems that power AI factories is as essential as securing the compute itself.

Modern energy supply chains are complex, distributed, and deeply interconnected with AI operations, and they operate largely within the operational‑technology domain. In this environment, cyber‑physical systems, legacy assets, and real‑time controls demand security approaches purpose‑built for critical‑infrastructure protection.

Xage Security is working with NVIDIA to address this need by bringing zero‑trust security to both energy infrastructure and the AI systems it supports. At S4x26, Xage will demonstrate 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 about 60 % of U.S. midstream pipeline infrastructure.
  • The company works with utilities and energy operators worldwide.
  • By combining Xage’s distributed, identity‑based security platform with NVIDIA BlueField, operators can:
    • Protect energy assets
    • Manage third‑party access
    • Secure AI‑driven operations at scale

All of this can be achieved without compromising performance, reliability, or resilience.

Read the full blog post for more details.

A New Class of OT Cybersecurity

Across these environments, a consistent OT cybersecurity architecture is taking shape. Security services run at the edge on NVIDIA BlueField DPUs, close to the operational systems they protect. By executing inspection and enforcement on dedicated, hardware‑isolated infrastructure, BlueField enables continuous protection without disrupting time‑sensitive operations.

  • Edge processing – OT data generated at the edge is inspected and enforced locally.
  • Central AI factories – The same data is streamed to centralized AI platforms, where it is analyzed across many sites to identify patterns, anomalies, and emerging threats.
  • Coordinated defense – Insights from the AI factories are shared back to the edge, creating a feedback loop that improves visibility, accelerates response, and scales protection consistently across OT and IT environments.

This architecture helps detect and contain threats faster while strengthening resilience across distributed environments, maintaining consistent performance, and protecting uptime.

The result is a new standard for securing critical infrastructure, where AI‑driven protection and operational excellence move forward together.

Learn More

  • OT cybersecurity use case
  • Solution overview

Join Us

NVIDIA at S4x26 – Feb 24‑26, Miami
Discover how accelerated computing and AI are transforming cybersecurity for OT and critical infrastructure.
Event details:

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