Securing Your AI Workloads with Dell AI Factory with NVIDIA

Secure and confidential AI with Dell.

Co-author: Ash Lakshmanan


Key takeaways: Dell AI Factory with NVIDIA now combines secure infrastructure with new cybersecurity solutions with CrowdStrike and Fortanix to protect sensitive AI workloads and boost resilience. With end-to-end Dell Managed Detection and Response Services, Dell empowers organizations to scale AI confidently while safeguarding data and operations.


AI is raising the stakes for security, resilience and trust. In the Dell Technologies Enterprise AI Adoption Survey, 3,800 IT Decision Makers agreed security was a top concern for scaling AI in their organization.¹ For leaders investing in AI, the message is clear: AI can’t scale without a security strategy that is built for it. It is not enough to simply bolt on security later. Modern AI environments need integrated, end-to-end protection to address fast-evolving threats and risks.

The Dell AI Factory stands at the center of enterprise AI adoption, from core data centers to deskside AI assistants. This vantage point provides us with a distinct, real-world understanding of when and how security should be built into every phase of the AI adoption lifecycle. Our approach is rooted in strategy and partnerships, not just tooling. We build deep engineering relationships with partners to reduce the integration burden and enable confident adoption and scaling of AI.

Improving security visibility and response across the Dell AI Factory with NVIDIA

AI introduces new layers of risk across data, models, infrastructure, identities, containers, orchestration and runtime operations. Many organizations already face tool integration and infrastructure visibility challenges in their security operations centers, so adding AI without a unified security approach can make that problem worse.

That is why Dell is collaborating with CrowdStrike to improve security visibility and control across the Dell AI Factory with NVIDIA. The goal is straightforward: empower organizations to protect their AI operations with integrated tools that improve detection, accelerate response and reduce AI security risks. The CrowdStrike Falcon Platform delivers unified, AI-native security and now integrates directly with the Dell AI Factory with NVIDIA for real-time correlated telemetry, including specific detections for NVIDIA AI Enterprise components, including NVIDIA NIM and NVIDIA NeMo. The benefit for customers is not just deeper telemetry, it is purpose-built, AI-native protection for threats such as prompt injection, model drift, misuse, shadow AI, risky packages, data leakage and improper output handling. This provides end-to-end visibility across the Dell AI Factory with NVIDIA workloads, data, runtime environments and infrastructure, enabling organizations to scale AI securely.

The Dell Managed Detection and Response (MDR) Service delivers a layered approach to further secure Dell AI Factory with NVIDIA by combining expert security analysts with the CrowdStrike Falcon® platform. Dell provides 24×7 threat monitoring, rapid response and recovery using the Falcon Platform for unified, real-time telemetry. This builds on existing Dell MDR infrastructure capabilities and adds broader context including identities and Dell storage infrastructure and access to expert analysts who understand both cybersecurity operations and IT infrastructure.

This protection model extends beyond the data center to deskside systems including Dell Pro Max with GB10, Dell Pro Max with GB300and Dell Pro Precision workstations, enabling organizations to bring secure AI closer to users at the edge. These systems launch with the same continuous endpoint security coverage from CrowdStrike Falcon Insight® XDR and Falcon® Prevent, helping deliver more consistent protection across centralized and distributed AI environments.

Learn more about Dell AI Factory with NVDIA integrations with CrowdStrike here.

Confidential compute for sensitive AI workloads

For many organizations, strong visibility is only part of the answer. Another critical question is whether sensitive data can remain protected throughout AI operations, including during training and inferencing. Many organizations are hesitant to adopt AI for use cases involving intellectual property or sensitive data, or for use cases in highly regulated industries such as healthcare or financial services.

Confidential Compute for Dell AI Factory with NVIDIA addresses those concerns by providing security for data and proprietary model weights “in use” by the AI model, while “at rest” and “in motion” are protected at the storage and network layers. Through collaboration with Fortanix, Dell AI Factory helps organizations protect sensitive AI workloads by encrypting and isolating data and model processing during inference time using NVIDIA AI infrastructure with hardware-based Trusted Execution Environments (TEE) to protect the AI workload while it is actively running. Fortanix employs post-quantum cryptography (PQC)-ready key management to stay ahead of quantum-related risks. That reduces exposure, supports privacy requirements and supports auditability. Continuous logs can document access, activity and processing conditions. All of this helps organizations move AI workloads into production with greater confidence.

Dell AI Factory customers handling highly sensitive information can now implement AI use cases with greater confidence by using confidential AI. For example, healthcare providers can use AI for diagnostic imaging and clinical support while keeping patient data protected and aligned with HIPAA requirements. In financial services, banks can apply AI to transaction analysis, fraud detection, and customer service while supporting mandates such as PCI DSS and GDPR. In pharmaceuticals, research teams can train models on proprietary compounds and trial data without exposing valuable intellectual property. Government agencies and other regulated organizations can also use confidential computing to strengthen control over sensitive internal workloads.

Learn more about Dell AI Factory with NVDIA integrations with Fortanix.

Secure AI is a business requirement

AI is changing how organizations operate, compete, and deliver products and services, but the value of AI depends on trust. Leaders need confidence that their systems protect data, safeguard intellectual property and remain available when customers and employees depend on them.

Securing AI is now a business requirement. As AI and agentic workflows move deeper into customer service, operations, and decision-making, the cost of downtime rises. A single outage, breach or governance gap can create financial, legal and reputational risk.

Dell helps simplify that challenge. With the Dell AI Factory with NVIDIA, integrated CrowdStrike AI-native cybersecurity platform, confidential AI with Fortanix and expert services that span advisory, MDR and recovery, provide a more resilient and auditable foundation for AI.

The path forward is clear. Secure AI early and build resilience in from the start. Protect what matters most as you scale. To learn more, contact Dell for an advisory workshop and explore how to establish a trusted foundation for AI across your organization.


1Dell, AI Adoption: https://www.dell.com/en-us/blog/five-insights-for-smarter-enterprise-ai-adoption/

About the Author: Kamlesh Shah

Kamlesh is Director of Product Management for AI Factory Solutions at Dell Technologies. He is responsible for Dell AI Factory Security & Networking product management. He has over 25 years of high-tech experience in product management, pre-sales engineering, and partner alliances. He has helped many Fortune 1000 enterprises and large Tier 1 as well as other global Service Providers help solve their business needs, while applying his technical expertise to the problems at hand. He has worked at Dell & Cisco Systems for (CCIE for over 20 years) in a variety of networking products and solutions roles as well as Application Intelligence Platforms in multi-cloud environments and has enabled alliances for joint solution within security and networking ecosystem.