ARMOR
The AI Readiness Model for Operational Resilience
ARMOR is your trusted guide for secure, compliant and future-ready AI initiatives.
Why AI Security demands a new approach
AI's rise has exposed new vulnerabilities, and the stakes have never been higher. CISOs and technology leaders are racing to harness AI's potential while confronting a surge in data exposure, adversarial threats and regulatory complexity. Security and innovation must be integrated from the start.
Regulatory compliance is just the baseline. Leading organizations proactively build trust and resilience into every layer of their AI initiatives. To unlock AI's full potential, enterprises need flexible, actionable frameworks that address modern threats and business goals.
What is ARMOR?
Your blueprint for AI security and resilience
The AI Readiness Model for Operational Resilience (ARMOR) is a vendor-agnostic solution delivered by WWT, leveraging a jointly developed framework with NVIDIA, designed to secure AI deployments at every stage, from planning to ongoing operations.
Built on practical experience and expert insights, ARMOR is continuously refined as new partners and technologies join the ecosystem.
Whether you're a local business or a global enterprise, its flexible, scalable structure makes it adaptable for organizations of any size or sector.
ARMOR Domains
Full spectrum risk coverage
ARMOR is divided into seven domains to ensure comprehensive, modular coverage of the full AI lifecycle. Each domain targets a distinct security challenge, enabling organizations to align with real-world threats, regulatory requirements and operational maturity for scalable, resilient AI deployment.
Governance, Risk and Compliance (GRC)
Innovate responsibly by balancing risk, resilience and compliance across the AI lifecycle. Move beyond AI hype to build trustworthy, responsible systems that deliver real value.
This tackles the business challenges of AI adoption and aligns AI operations with regulatory, policy and ethical standards for transparent and trustworthy AI systems.
Secure AI Operations
Uncover how modern security operations are evolving with the help of large language models (LLMs).
This guides you through transforming reactive defenses into proactive strategies, enhancing threat detection, streamlining incident response and driving continuous improvement across your cybersecurity lifecycle.
Model Security
AI models are high-value assets and high-risk targets.
This details layered defenses like model scanning, runtime security, lifecycle traceability and red teaming to safeguard AI systems from adversarial threats, misuse and operational vulnerabilities.
NVIDIA NeMo Guardrails
Explore how NVIDIA NeMo™ Guardrails transform governance into real-time enforcement for enterprise AI systems.
Secure Development Lifecycle (SDLC)
Build safer applications without compromising speed or agility. Embedding security into every phase of the software development lifecycle strengthens resilience and trust.
This offers a practical roadmap for secure coding practices, threat modeling, AI model scanning, and identifying, prioritizing and remediating vulnerabilities.
Infrastructure Security
Unlock scalable, risk-based identity security for AI and high performance computing (HPC) environments, and analyze the foundational controls that secure them from the ground up.
This illustrates the evolution from manual access controls to intelligent, zero-standing privilege architectures, while uniting segmentation, device profiling, traffic visibility and zero trust principles to safeguard users, machines and sensitive workloads.
Data Protection
Understand how a data-centric, zero trust approach can fortify your organization's most valuable asset: data.
This outlines maturity models, AI-specific strategies and implementation best practices to help you build resilient, compliant and recovery-ready data protection across hybrid and high-performance environments.
Cyber Resilience
Build a resilient AI and HPC environment that withstands cyber threats and ensures business continuity.
Grounded in zero trust and defense in depth, this highlights maturity models, recovery planning and integrated security operations to help your organization prepare, respond and recover with confidence.
Featured use case
Securing AI Infrastructure with WWT's ARMOR Framework and NVIDIA BlueField-4
With BlueField-4 and ARMOR, organizations can:
Reduce AI deployment risk in transformation business deployments
Improve compliance readiness for AI usage throughout the environment
Accelerate time-to-value for AI initiatives across industries
Why ARMOR
ARMOR is the first vendor-agnostic solution, leveraging an end-to-end AI security framework to provide comprehensive coverage of key IT domains.
Designed for relevance across industries, ARMOR helps organizations accelerate AI adoption while reducing risk. Its alignment with top standards, such as NIST AI Risk Management Framework and ISO/IEC 42001 AI Management System Standard, ensures compliance and builds trust for enterprises seeking best-in-class security.
"Security and innovation can't sit on opposite sides of the table. WWT's path forward is clear: No AI without ARMOR"
Chris Konrad
WWT - VP Global Cyber
"What sets ARMOR apart is that it's not just theoretical. It's rooted in real-world application, designed by experts, and refined through frontline engagements."
Neil Anderson
WWT - VP CTO Cloud, Infra, and AI Solutions