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WWT Research • Applied Research Report
• 29 minute read

Secure Development Lifecycle (SDLC): Ensuring Integrated NVIDIA AI Security at Scale

Examine the evolving landscape of application security with a holistic lens and a practical roadmap for identifying, prioritizing, and remediating vulnerabilities. This guide explores how embedding security into every phase of the software development lifecycle strengthens resilience and trust.

 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.

 Software development lifecycle: What you'll find inside

This section explores the evolving landscape of application security and secure development. ARMOR's SDLC guidance provides a practical roadmap for identifying, prioritizing and remediating vulnerabilities, helping you align tools, processes and frameworks to secure modern, interconnected applications with greater clarity and control.

 Key principles and strategies

  • Application security: Take a holistic approach to risk by treating application vulnerabilities as a complete risk picture, not isolated issues. Prioritize remediation based on impact and likelihood, and use both manual and automated scanning to identify weaknesses.
  • Secure development: Embed security into every phase of the SDLC. Adopt secure coding practices, conduct regular threat modeling, integrate security testing into CI/CD pipelines and apply least privilege and robust access controls.
  • Continuous education: Keep development teams up to date on best practices, tools and emerging threats. Foster a culture of learning and feedback to strengthen security posture over time.
  • AI model scanning: Treat downloaded AI models as code—scan for malicious code, data poisoning and compliance risks before use. Maintain a registry of approved models and integrate scanning into your CI/CD pipeline.

 Maturity model

ARMOR provides a maturity model for both application security and secure development. The model helps organizations benchmark their current practices and chart a path from ad hoc, manual processes to integrated, automated and proactive security. It covers everything from manual peer reviews and ad hoc scanning to fully automated, policy-driven security with centralized visibility and control.

 Relevant frameworks and standards

ARMOR aligns with leading frameworks such as OWASP SAMM, OWASP ASVS, OWASP Top 10, NIST Secure Software Development Framework, ISO/IEC 27034, BSIMM, PCI DSS and CIS Controls. These frameworks help organizations benchmark, mature and align their security initiatives with industry best practices and regulatory requirements.

 Who should read this and why

This section is for application architects, developers, security engineers and anyone responsible for building and maintaining secure applications in AI and HPC environments. If your organization is facing vulnerability fatigue, scanner sprawl or the challenge of securing rapidly evolving applications, the SDLC domain provides practical insights and actionable steps to strengthen your security posture.

 Why keep reading

  • Learn how to embed security into every phase of the SDLC without slowing down innovation
  • Find best practices for secure coding, threat modeling, integrated testing and AI model scanning
  • Benchmark your organization's maturity and identify steps for improvement
  • Build confidence that your application security and development practices are robust, scalable and aligned with global standards

Unlock the full report for in-depth guidance, implementation approaches and expert insights to help you build safer, more resilient applications for AI and HPC environments.

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