Infrastructure Security: Ensuring Integrated NVIDIA AI Security at Scale
Unlock scalable, risk-based identity security for AI and HPC environments with intelligent, zero-standing privilege architectures, and analyze the foundational controls, such as segmentation, device profiling and traffic visibility, that secure AI HPC platforms from the ground up.
WWT's AI Readiness Model for Operational Resilience (ARMOR) framework
World Wide Technology's AI Readiness Model for Operational Resilience (ARMOR) is a practical framework for securing AI and high-performance computing environments. ARMOR is built on real-world expertise and addresses the most urgent security challenges organizations face today. The framework is organized into different domains, each offering actionable guidance and maturity models for organizations at any stage of their AI journey:
- AI Governance, Risk and Compliance
- Secure AI Operations
- Model Protection
- Software Development Lifecycle (SDLC)
- Infrastructure Security
- Data Protection
- Cyber Resilience
Each domain is authored by subject matter experts and provides practical, vendor-agnostic insights for building resilient, compliant and innovative AI ecosystems.
Infrastructure security: What you'll find inside
This section focuses on building a secure, resilient foundation for AI and HPC environments. ARMOR's infrastructure security guidance covers both identity security—enabling risk-based, zero-standing privilege architectures—and the foundational controls that protect AI HPC platforms from the ground up.
Key principles and strategies
- Identity security: Move from manual access controls to intelligent, risk-based identity management. Implement zero-standing privilege architectures to protect users, machines and sensitive workloads, while enabling secure collaboration and compliance.
- Segmentation and device profiling: Divide your platform into secure compartments, identify and authenticate every device, and maintain a comprehensive asset inventory.
- Boundary protection: Use firewalls, web application and API protections, and layered controls to secure the edges of your environment and management planes.
- Secure build and vulnerability management: Apply hardened build standards, automate compliance checks, and prioritize timely patching to reduce risk.
- Endpoint protection and network visibility: Deploy advanced malware protection, automate response playbooks, and continuously monitor network activity for threats.
Maturity model
ARMOR provides a maturity model for infrastructure security, helping organizations benchmark their current posture and chart a path from manual, reactive controls to fully integrated, automated, and adaptive security. The model covers device profiling, segmentation, boundary protection, secure build, vulnerability management, endpoint protection and network visibility.
Relevant frameworks and standards
ARMOR aligns with leading frameworks such as the CIS Critical Security Controls, NIST 800-53, ISO/IEC 27001, PCI DSS, HIPAA, and the OWASP Top 10 for LLMs. The framework incorporates zero trust principles and supports compliance with global regulations and industry best practices.
Who should read this and why
This section is for IT architects, security engineers, infrastructure leaders and anyone responsible for securing AI and HPC platforms. If your organization is deploying AI, managing complex hybrid environments, or facing new threats from advanced workloads, the Infrastructure Security domain provides practical insights and actionable steps to build a resilient, compliant and scalable foundation.
Why keep reading
- Learn how to implement risk-based identity security and zero-standing privilege architectures
- Find best practices for segmentation, device profiling, boundary protection and network visibility
- Benchmark your organization's maturity and identify steps for improvement
- Build confidence that your infrastructure security strategy is robust, scalable and aligned with global standards
Unlock the full report for in-depth guidance, implementation approaches and expert insights to help you build a secure, resilient and future-ready AI infrastructure.
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