DatumFuse

AI Data Anonymizer

Privacy Tool Data is not stored

AI Data Anonymizer

Automatically redact sensitive PII or generate realistic synthetic data while preserving utility for testing and analytics.

Files Secured

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Protection Mode:
5 / 100 rows

Handling sensitive data?

Your files are processed securely in AWS, auto-deleted on a short retention schedule, and never used to train AI.

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GDPR & CCPA Ready

Secure Your Data. Protect Your Users.

Don't let sensitive PII leak into your test environments or analytics. Our AI Anonymizer automatically detects and protects personal data, keeping you compliant and secure.

Redaction Mode

Best for Sharing Reports

Completely masks sensitive fields. Ideal when you need to share data externally but must hide identities.

Name: [REDACTED]
Email: ***@***.com
Card: XXXX-XXXX-XXXX-1234

Synthetic Mode

Best for Testing & QA

Replaces real data with fake, statistically similar values. Maintains usability for testing software.

Name: John Doe → Alex Smith
Email: jdoe@corp.com → asmith@test.com
City: New York → Chicago

Comprehensive PII Protection

What our AI detects and secures automatically.

Personal Identities

Full names, usernames, maiden names, and aliases.

Financial Data

Credit card numbers, IBANs, bank account numbers, and crypto wallets.

Govt IDs

Social Security Numbers (SSN), Passport numbers, and Driver's Licenses.

Contact Info

Email addresses, phone numbers, and physical addresses.

Zero Retention

Data is processed in ephemeral memory. We never store your uploads.

Enterprise Grade

Your data is processed securely within our AWS environment, auto-deleted on a short retention schedule, and never used to train AI.

Common Questions

Details about security and compliance.

Contact Security Team
Absolutely. Our free tool runs entirely stateless. Your data is sent to our secure processing engine, anonymized, returned to you, and immediately wiped from memory. We do not log or store user data.
Yes. If you replace emails, the synthetic output will still be valid email formats. If you replace credit cards, they will pass Luhn validation checks but be fake numbers. This ensures your code won't break during testing.
The online tool handles files up to the size limit shown at upload. For very large datasets, split them into batches — all processing happens securely within our AWS environment.
Yes. By removing or obfuscating PII (Personally Identifiable Information), this tool helps you satisfy "Right to be Forgotten" requests and data minimization principles required by GDPR and CCPA.

Don't Risk a Data Breach

Sanitize your datasets before they leave your secure environment.

The AI Data Anonymizer makes a dataset safe to share. It detects personal and sensitive information — names, emails, phone numbers, SSNs, credit card numbers — and either redacts it in place or replaces it with realistic synthetic values that preserve the data's shape for testing and analytics. It is built for teams that need to move data around without exposing PII.

How it works

  1. 1

    Add the sensitive data

    Paste a CSV to try it, or sign in to upload a file for full anonymization.

  2. 2

    Choose a mode

    Pick REDACT to mask PII in place, or SYNTHETIC to replace it with realistic fake data.

  3. 3

    AI detects and transforms PII

    It locates personal and sensitive fields and applies your chosen transformation.

  4. 4

    Download the safe dataset

    Export anonymized data you can share with vendors, teammates, or test environments.

Use cases

Safe data sharing

Hand a dataset to an agency, contractor, or partner without exposing customer PII.

Realistic test data

Generate synthetic records that keep the structure of production data for dev and QA.

Compliance-conscious analytics

Strip identifiers before loading data into analytics tools to reduce compliance scope.

Demos and screenshots

Anonymize a real export so you can show it in demos, docs, or support tickets safely.

Why DatumFuse

Two modes

Redact to mask values in place, or synthesize to keep realistic, usable structure.

Automatic PII detection

Finds names, emails, phones, SSNs, and card numbers without you tagging columns.

Preserves utility

Synthetic mode keeps formats and distributions so anonymized data is still testable.

Not stored or trained on

Your sensitive input is processed for your output only, never used to train models.

Frequently asked questions

How do I anonymize a CSV?
Paste or upload your data and choose REDACT (mask PII) or SYNTHETIC (replace with realistic fake data); download the anonymized result.
What is the difference between redact and synthetic modes?
Redact masks sensitive values in place (for example [REDACTED]); synthetic replaces them with realistic fake data so the structure stays usable for testing.
What kinds of PII does it detect?
Common identifiers including names, email addresses, phone numbers, SSNs, and credit card numbers, detected automatically from your data.
Is this suitable for GDPR or HIPAA workflows?
It helps you remove or replace identifying information so data is safer to share, which supports privacy-conscious workflows. You remain responsible for your own compliance requirements.
Is my sensitive data stored?
Your input is processed to produce the anonymized output and is not used to train third-party AI models.