01
Access friction
Valuable datasets sit behind long approvals because they contain personal information.
ANON for Data and AI
Put valuable data to work
Help analytics and AI teams use sensitive enterprise data more safely and with less access friction.
Sound familiar?
What holds data teams back
02
Sharing with vendors
Outside partners need data, but sending real records means sending real identities.
03
One-off preparation
Every new project means another round of finding and stripping sensitive fields by hand.
See how ANON fits your analytics work.
Book an ANON Demo
What changes with ANON
How ANON helps data teams
Share data, not identities
Give analysts and vendors a de-identified copy, written to a separate database or delivered as CSV files.
Sensitive columns flagged for you
One scan flags PII and PHI columns and suggests a technique for each one.
Keep what analysis needs
Generalize dates and numbers instead of deleting them, and keep IDs consistent so records still link across tables.
Detection and masking are rule-based and use no AI, so your data isn't sent to an AI model to be protected.
See ANON with your analytics data.
Book an ANON Demo
How ANON works
Four steps, no heavy lifting
- Anonymize identifying data
- Identify sensitive information
- Provide usable protected datasets
- Maintain visibility and auditability
See ANON applied to your data workflow.
Book an ANON Demo
Resources
Recommended reading
Preparing sensitive data for analytics and AI
What data leaders should ask before approving an AI dataset
Want to see how this could work in your environment?
Book an ANON Demo
Book an ANON demo
See ANON with your data workflow
We'll show how data teams analyze and share sensitive data without exposing identities.