Overview
This article explains how to import findings into Hyver using CYE AI, which supports unstructured data sources and enriches your findings automatically.
You’ll learn how this new import flow works, what makes it different from the existing CSV-based import, and how CYE AI uses internal data to enhance your findings — including mapping, business context, and remediation insights.
Prerequisite: Admin permissions are required to use this feature.
Steps
1. Upload your file
Start the same way you would in the regular flow:
Go to the Findings page in Hyver.
Click Import with CYE AI.
Upload your file.
New in this version:
You can now upload files in PDF, Excel, or CSV formats. Hyver automatically reads and extracts the relevant data — no need to structure it first.
2. Automatic field mapping (no manual step required)
Unlike the classic import flow, there’s no need to manually map your columns to Hyver fields.
CYE AI automatically detects and maps the relevant fields based on your file.
If any mandatory fields are missing from the uploaded data, CYE AI attempts to fill them based on internal knowledge and matching logic.
3. Validate and enrich your findings
Once your data is uploaded, you'll land in the Validation Table, where CYE AI’s enhancements come into play.
Here’s what you’ll see:
Automatic enrichment
If fields are missing, Hyver fills them in automatically using suggestions based on:
Internal mapping to the Hyver Findings DB
NIST ID correlations
Mitigation recommendations
MITRE ATT&CK mappings
Business impact estimation
These suggestions are shown inline in the table. If the AI adds a field that was completely missing, it appears as a new value. If the field existed but Hyver found a better match, the AI provides a replacement suggestion.
Inline controls
AI Suggestion icon 🪄 — Hover to compare your original value with CYE AI's suggestion and the reason behind it.
Replace All — Apply all AI suggestions across the entire import in one click.
⚠️ This action is irreversible, but you can still manually edit cells afterward.
4. Finalize the import
The rest of the process works just like the standard import:
Review and edit any cells inline.
Delete any rows you don’t want to import.
Use filters and indicators to spot duplicates or errors.
Click Import to finalize.
You’ll see a summary of how many findings were:
New — findings that didn’t exist previously and are now added.
Updated — findings that existed but have been changed or enriched.
Skipped — due to errors, duplication, or restricted access.
Important notes
The existing CSV import flow is still supported and unchanged. You can use it any time, with or without AI.
Only users with admin permissions can access this feature.
Currently, this feature supports importing findings only. Additional object types will be supported in the future.
Wrap-up / Next Steps
This is the first step in a broader effort to make importing into Hyver faster, easier, and smarter. You can now upload unstructured files like PDFs and let Hyver do the heavy lifting — from extraction to enrichment.
Feel free to explore, test different formats, and review the enriched results. As new AI-powered capabilities roll out, this article will be updated to reflect them.
For now, importing just got a lot more flexible.
For reference, you can revisit the article on importing findings from external sources (CSV-based), which covers the standard import process and how to use the validation table: [Import findings into Hyver from external sources]