What the AI Security Readiness Assessment Covers
Most mid-market organizations underestimate how much AI is already running inside their environment — sanctioned tools, unsanctioned browser extensions, embedded AI features inside SaaS products they already pay for, and pilots that quietly went into production. The AI Security Readiness Assessment starts by building a complete inventory, including shadow AI that no one formally approved.
Every discovered use case is scored against the four functions of the NIST AI Risk Management Framework (AI RMF 1.0) — Govern, Map, Measure, and Manage — with specific attention to data provenance (what data trains or feeds each system), model supply-chain risk (where models and weights actually come from), and prompt-injection exposure for any customer- or employee-facing LLM interface. The engagement concludes with a prioritized remediation roadmap and a board-ready findings presentation.
What You Receive
A fixed-fee, 90-day engagement with defined deliverables.
Complete AI Use-Case Inventory
Every sanctioned and shadow AI tool in use across the organization, cataloged and risk-scored.
NIST AI RMF Scoring
Each use case scored against Govern, Map, Measure, and Manage functions of AI RMF 1.0.
Prompt-Injection & Supply-Chain Review
Assessment of prompt-injection exposure and model/data supply-chain provenance for each system.
Prioritized Remediation Roadmap
Risk-ranked remediation plan with a board-ready findings presentation.
Aligned to the Frameworks That Matter
Assessment scoring maps directly to the frameworks your board, auditors, and regulators already expect.
Frequently Asked Questions
Related VERITY AI Services
Ready to Find Out What Your AI Actually Exposes?
Every VERITY AI engagement starts with a scoping call and a written proposal covering scope, deliverables, timeline, and pricing.
Request an Assessment Proposal →Part of Armorstack’s VERITY AI program.