AI Readiness Model for Operational ResilienceAI SecurityCybersecurity Risk & StrategyAI Proving GroundSecurity
Workshop•40 hours
ARMOR Accelerator
The AI Readiness Model for Operational Resilience (ARMOR) is your trusted guide for secure, compliant and future-ready AI initiatives.
How the accelerator works
Four moves. One outcome: a scored readiness picture and a sequenced plan.
- Diagnose. A guided assessment across 14 working domains and 53 questions, each anchored to a recognized control standard. No external scan — the engagement converts the evidence you provide into the readiness picture.
- Score. Three numbers your board can act on: the ARMOR Readiness Index (0–100, weighted across the analysis), the AI Chain-Break Index (the share of 14 recognized adversary techniques your environment can disrupt today), and an AI Sovereignty class (shared frontier, isolated private cloud, or customer-sovereign).
- Map. Every finding rolls up to ARMOR — and to the published ARMOR Reference Domains your teams already recognize, developed with NVIDIA.
- Prioritize. Findings become a tiered roadmap, from Harden Now through Transform, with each action tied to recognized guidance and mitigations — so the highest-leverage moves stop competing with the cosmetic ones.
What you walk away with
Four deliverables. One actionable plan.
- ARMOR Readiness Dashboard. An interactive assessment with live scoring across the five pillars, the AI Chain-Break Index, and the Reference Domain rollup.
- Reference Domain Scorecard. Your standing presented in the seven published ARMOR domains, each with a maturity score and traceability to the evidence behind it.
- Prioritized Action Plan. The tiered remediation roadmap — Harden Now through Transform — your teams can execute in order.
- AI Chain-Break Analysis. Per-technique coverage against 14 adversary techniques from MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems), showing where your controls disrupt an attack today and where gaps remain.
Who this is for
- Just starting. You want to begin the way most organizations wish they had: with a map, a baseline and an order of operations.
- Already in motion. AI arrived faster than the program built to govern it. You need an honest read on progress — good or bad — and a defensible answer to "what next?"
- Mature, but unproven. The work is done; the evidence isn't organized. You need scores and traceability the board and auditors will accept.
Bring the leaders who own the answer: the Chief Information Security Officer, security and risk leadership, AI and data leaders, and compliance stakeholders.
Built on standards you already run
ARMOR is not a new standard — it is a composition of trusted ones, overlaid on the security foundation you already operate:
- Cloud Security Alliance (CSA) AI Controls Matrix — the primary AI control spine
- National Institute of Standards and Technology (NIST) AI Risk Management Framework — governance and lifecycle
- MITRE ATLAS — the adversary's view of AI
- Open Worldwide Application Security Project Top 10 for Large Language Model Applications — model-specific attack catalog
- International Organization for Standardization 27001 and 27002 — the information-security foundation
- NIST Cybersecurity Framework 2.0 — program structure
- Center for Internet Security Controls, version 8.1 — technical implementation detail
- NIST Secure Software Development Framework — secure development practices
Maturity is scored on the familiar Capability Maturity Model Integration 0–5 scale, with level 3 as the regulatory floor. Your existing baseline stays; AI security now resides on it.
ARMOR tells you what good looks like. The Accelerator tells you where you stand and what to do first. No AI without ARMOR.
What to Expect
The AI ARMOR Accelerator is a guided assessment that measures your AI security program against the frameworks that define good — not against instinct or vendor claims. We assess three things in parallel: the AI already in your business, the controls meant to govern and protect it, and how much of the modern AI attack chain you could disrupt today. Those converge into one scored readiness picture and one sequenced plan.
- An AI Chain-Break Index showing how many of the fourteen adversary techniques in MITRE ATLAS your environment can disrupt today, plus your AI Sovereignty class
- A maturity baseline anchored to the CSA AI Controls Matrix, the NIST AI Risk Management Framework, International Organization for Standardization 27001, and Center for Internet Security Controls version 8.1 — scored on the familiar 0–5 maturity scale, with level 3 as the regulatory floor
- A plan tiered by what moves real readiness for the least effort — starting with the controls you already own but haven't extended to cover AI
Benefits
- Know where you actually stand. An honest, evidence-based baseline of your AI security readiness — whether the news is good or bad — instead of a picture assembled from instinct and assumption.
- Do what should have come first, next. Most organizations are securing AI already in motion. The sequenced plan restores the order of operations, so you close foundational gaps without stopping the business.
- Maximize security impact without increasing spend. Focus investment on the actions that move readiness the most, so the highest-leverage work doesn't compete with cosmetic work.
- Unlock value from the controls you already run. ARMOR overlays AI-specific controls on the security baseline you already operate — extending existing investments to cover AI instead of forcing a rip-and-replace.
- Find the AI you don't know about. Map the models, agents, and AI-enabled applications already in the business — including the ones that arrived without security's involvement.
- Demonstrate measurable progress to leadership. Three defensible scores and full traceability to the evidence, so you can quantify readiness, track improvement over time, and support board-level reporting.
- Get answers while they're still actionable. Prioritized findings and a sequenced roadmap in [days, not months], with predictable scope.
- Align teams around a single language of AI risk. The five pillars and seven published Reference Domains give security, IT, and AI teams and executive leadership one shared picture of where the program is strong, where it's exposed, and what to do next.