# Sensitive data · Use cases · Dscvry

> Sensitive data: personal and confidential information found across documents, emails and exports, and redacted before files are shared, with the original...

Source: https://dscvryai.com/use-cases/sensitive-data/

# What personal data is in these files?

Every file checked for names, contact details, account numbers and health information, and redacted before it leaves your control.

See it worked through ·

1. [Home](https://dscvryai.com/)
2. [Use cases](https://dscvryai.com/#use-cases)
3. Sensitive data

## It looks anonymous. It isn’t.

Personal data hides in places a quick read misses: a signature block, a scanned form, a spreadsheet column nobody scrolled to.

### Hidden in plain sight.

Names and numbers sit in footers, attachments, scanned images and free-text notes.

### Redacted by hand.

Black boxes drawn by people miss items, and some leave the text underneath.

### Shared under pressure.

Disclosure requests and data-room deadlines leave no time for a second check.

## What the AI reads.

Every page, cell and attachment read for personal and confidential data, including text inside images.

### In

- Documents and scans
- Emails and attachments
- Spreadsheets and exports
- Call notes and transcripts
- Your data classification policy
- The disclosure request

### At work

1. [Sense](https://dscvryai.com/technology/sense/) Reads every format, including scans, photos and text inside images.
2. [Understand](https://dscvryai.com/technology/understand/) Recognises names, addresses, account numbers and health details in context.
3. [Check](https://dscvryai.com/technology/check/) Applies your policy to each item: remove, mask, or keep with a reason.
4. [Operate](https://dscvryai.com/technology/operate/) Produces the redacted copy and logs every change for review.

### Out

A redacted copy, a log of every change, and the original kept safe.

## Every item found. Every redaction logged.

The disclosure team sees what was found, what was removed and why, before anything is released.

Disclosure pack DP-0938 · The reasoning ·

Disclosure pack DP-0938 · Complaint file · 42 pages Illustrative

6 items found · 5 redacted · 1 kept with a reason

| Page | Found | Action | Detail | Rule |
|---|---|---|---|---|
| p. 3 | Customer name and home address | Redacted | Letter header and signature block | Personal |
| p. 7 | Bank account and sort code | Redacted | Inside a scanned direct debit form | Financial |
| p. 12 | Mobile phone number | Redacted | Free-text note from a call handler | Personal |
| p. 19 | Reference to a medical condition | Redacted | Email from the customer’s relative | Health |
| p. 26 | A third party’s name | Redacted | Neighbour named in a complaint letter | Third party |
| p. 31 | Staff member’s name | Kept | Named handler; your policy keeps staff names | Policy 4.2 |

Illustrative example. Files, people and details are fictional.

## Built for data protection.

The AI finds and redacts. Your reviewers still decide what is released.

### Removed, not covered.

Redacted text is taken out of the file, so it can’t be copied back.

How Check works
https://dscvryai.com/technology/check/

### Every redaction logged.

Each item shows where it was, why it went and which rule applied.

How Operate works
https://dscvryai.com/technology/operate/

### Runs inside your boundary.

Files are read where they are kept and never sent out to be checked.

Deployment options
https://dscvryai.com/#deployment

## Same records. Other questions.

The documents and data behind this work answer other questions too.

Where is the evidence for the audit?

### Audit evidence

Pull the proof together from every system.

See how →
https://dscvryai.com/use-cases/audit-evidence/

What actually happened with this complaint?

### Customer complaints

Reconstruct what happened, and how it was handled.

See how →
https://dscvryai.com/use-cases/customer-complaints/

Is this customer who they say they are?

### Onboarding checks

Verify identity documents and flag the gaps.

See how →
https://dscvryai.com/use-cases/onboarding-checks/

What does this contract commit us to?

### Contract obligations

Every obligation, owner and deadline in one list.

See how →
https://dscvryai.com/use-cases/contract-obligations/

More in Legal
https://dscvryai.com/#use-cases

Every use case
https://dscvryai.com/use-cases/

## Bring us a file you need to share.

We’ll show you every item of personal data in it, and the redacted copy we would release.

[Talk to us →](https://dscvryai.com/contact/?topic=Sensitive%20data%20inquiry)

**London**Discovery AI Limited · United Kingdom

**Hyderabad**ReDscvry Technology Private Limited · India

**Chennai**ReDscvry Technology Private Limited · India
