NVIDIA’s cybersecurity partnerships combine BlueField DPU telemetry and NVIDIA AI software with partner tools for functions such as exposure management, runtime protection, firewalling, segmentation and policy enforcement. The integrations address different settings—notably operational technology and industrial control systems (OT/ICS) and enterprise AI-factory infrastructure—and do not form one uniform product or partner roster.
How NVIDIA’s monitoring architecture works
In NVIDIA’s description of its OT/ICS architecture, BlueField is a programmable, out-of-band data processing unit (DPU) that collects telemetry across hosts, networks and applications. AI analysis of operational signals is intended to identify anomalies and emerging threats; findings can then inform policies enforced at the edge. NVIDIA presents this approach as a way to add visibility where installing traditional host agents or taking systems offline may be difficult. That architecture description is not proof that every deployment is disruption-free.
NVIDIA says DOCA Argus can monitor containers, virtual machines and bare-metal systems without relying on host software agents or consuming host CPU resources. It analyzes runtime behavior against expected baselines and may identify examples such as unauthorized process execution, suspicious shell activity, reverse shells and other runtime anomalies. NVIDIA describes the collected telemetry as exportable through tools including Fluent Bit and Vector to existing SIEM, SOAR or XDR platforms, or to enterprise data lakes. These are vendor descriptions, not independent validation. See NVIDIA’s AI-Driven OT & ICS Cybersecurity overview and its technical explanation of DOCA in-silicon security.
Which partners NVIDIA named, and for what
OT/ICS and critical infrastructure
NVIDIA’s February 12, 2025 announcement said Armis, Check Point, CrowdStrike, Deloitte and World Wide Technology (WWT) were integrating its cybersecurity AI platform for critical infrastructure such as energy, utilities and manufacturing. The post described a platform built around BlueField-3 DPUs, DOCA and Morpheus. It characterized BlueField-3 as an embedded sensor that can stream telemetry to Morpheus; Armis Centrix as cyber exposure management; and CrowdStrike Falcon as deployed on BlueField-3 for AI-powered threat detection and response. These are NVIDIA’s and partner representatives’ descriptions, not comparative test results. Read NVIDIA’s February 2025 partner announcement.
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NVIDIA’s OT/ICS use-case page also names Akamai, Forescout, Palo Alto Networks, Siemens and Xage Security as partners integrating accelerated computing and AI into OT cybersecurity. A separate NVIDIA post about agentic AI and critical-infrastructure cybersecurity names Armis, Check Point, CrowdStrike, Deloitte, Forescout, Nozomi Networks and WWT. These lists relate to their respective sources and contexts; they should not be treated as a single roster for every deployment. The latter list appears in NVIDIA’s agentic AI cybersecurity post.
Enterprise AI Factory validated design
In a January 5, 2026 post, NVIDIA said nine partner platforms were integrated into its Enterprise AI Factory validated design. The roles below are the integration descriptions given in that post, not independent evaluations of product efficacy.
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| Partner and product | Role described by NVIDIA |
|---|---|
| Armis Centrix | Continuous cyber exposure management |
| Check Point Infinity AI Cloud Protect | Network and host security using DOCA Argus telemetry |
| F5 BIG-IP Next | Kubernetes workload isolation and policy enforcement |
| Fortinet FortiGate VM | Firewalling and zero-trust segmentation |
| Palo Alto Networks Prisma AIRS | AI runtime protection |
| Rafay | Operations and multi-tenant isolation |
| Red Hat OpenShift | Application platform capabilities |
| Spectro Cloud PaletteAI and PaletteAI Secure | AI integration and management |
| Trend Vision One | Monitoring and policy enforcement |
The nine partners are Armis, Check Point, F5, Fortinet, Palo Alto Networks, Rafay, Red Hat, Spectro Cloud and Trend Micro. NVIDIA’s announcement is titled NVIDIA BlueField-Powered Cybersecurity and Acceleration Arrive on NVIDIA Enterprise AI Factory Validated Design.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to evaluate an integration for your environment
The partner names alone do not establish which tool is suitable. Start with the systems and risks you need to cover, then confirm what telemetry the proposed integration actually receives and what response it can take.
- Match the environment: distinguish OT/ICS and critical infrastructure from AI-factory data centers. Their operational constraints and security goals may differ.
- Check coverage: determine whether the integration addresses host integrity, network traffic, applications, AI workload runtime or cyber-exposure inventory—and which assets and signals it can see.
- Understand detection and response: clarify whether it provides anomaly or runtime detection, alerts, automated containment, firewalling, segmentation or policy enforcement.
- Confirm existing-tool integration: ask how telemetry and findings reach your SIEM, SOAR, XDR or data lake, and what setup or ongoing administration is required.
- Account for operating constraints: establish whether host agents, downtime or intrusive controls are acceptable in the systems being protected.
The cited announcements do not provide neutral comparative pricing, independent efficacy testing, customer outcome studies or a head-to-head ranking. NVIDIA’s solutions page says GPU-accelerated performance can be “up to 600X faster than CPU-only servers” for AI inference and real-time monitoring across servers, packets, users and machines; the page does not provide benchmark methodology alongside that claim. Treat it as NVIDIA’s capability claim, not an independently verified comparison. See NVIDIA’s AI cybersecurity solutions page.
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