NTXAI.org
NTXAI · Resources · Risk & Data Mapping
Phase 2 · Weeks 2–3

Know what you're protecting before you deploy anything.

Every organization has data that, if processed by the wrong AI tool, creates legal, competitive, or reputational harm. Mapping this before deployment is the foundation the policy is built on.

Data classification — by risk level.

Walk through each category with Legal and the line-of-business owners. Anything not on this table defaults to the highest classification that touches it.

Data typeRisk levelRequired mitigation
Customer PII & records
Names, emails, SSNs, health data
Critical Never input to external AI. Enterprise tools with air-gapped data isolation only.
Proprietary IP & trade secrets
Formulas, pricing models, strategy
Critical Classified AI-prohibited. Require explicit committee approval for any AI use.
Financial data & forecasts
Internal P&L, budgets, unreported results
High Anonymize or summarize before AI use. Full audit trail required.
Employee data
Compensation, performance reviews, HR files
High HR-specific AI tools only, with signed Business Associate Agreements.
Legal documents & contracts
Pending litigation, contract terms, NDAs
Medium Legal sign-off required. Redact sensitive terms before any AI review.
Internal communications
Slack, email threads, meeting notes
Medium Context-dependent. Policy must specify exactly what can be shared.
General business content
Marketing copy, job postings, public docs
Low Approved for standard AI tools. Human review before external publication.

Consumer vs. enterprise AI — a critical distinction

Free-tier consumer AI tools may use your inputs to train future models. Enterprise and API tiers typically offer data isolation and zero-retention guarantees — but you must verify in the contract, not the marketing page.

How exposed is your data right now?

The Enterprise AI Adoption Index includes a Data & Risk category that estimates the gap between your current safeguards and a defensible baseline.

Begin free assessment →