NNIPA Intelligence
Recommendations
Once a dataset is classified, NNIPA doesn't just name a framework — it points you to the specific area of guidance and a suggested next step, so you know exactly what to do about it.
How recommendations work
Recommendations are generated from the same structural analysis used for classification — no manual review needed. Each one names the recognized domain, the applicable framework, and the specific control area within it, alongside a confidence score.
Example frameworks
A single platform can recognize very different regulated domains. Here's what recommendations look like across a few sample dataset types:
| Sample dataset | Domain | Framework | Guidance |
|---|---|---|---|
| Firewall activity log | Cybersecurity | NIST 800-53 (Rev. 5) | System & Communications Protection — shielding networks from unwanted traffic. |
| Supplier invoices | Financial | GAO Green Book | Control Activities — the checks that keep spending accurate and authorized. |
| Patient visit records | Healthcare | HIPAA Security Rule | Technical Safeguards — protecting health information held electronically. |
| Student enrolment records | Education | FERPA | Disclosure & Consent — when student records may be shared. |
| Audit findings | Audit & Oversight | Yellow Book (GAGAS) | Findings & Deficiencies — documenting and reporting audit issues. |
| Survey responses | Statistical & Survey | GSBPM (UNECE) | Design & Metadata — how surveys are structured and described. |
Share the structure of your own tables — just the column names, never the sensitive contents — and recommendations can be shaped around your actual systems, mapped to the same frameworks.