Quality and Testing
Keep testing moving
Give QA teams realistic, usable data without carrying real identities into test environments.
Explore ANON for Testing
ANON by Stratsy
Your teams need the data. Not the identities behind it.
ANON helps organizations make sensitive enterprise data safely usable across testing, development, analytics, and AI.
- HIPAA's 18 identifiers mapped
- Source never modified
- Joins stay intact
- Your cloud or ours
Find your team
patients → qa_staging
| Patient | MRN | Department |
|---|---|---|
| Maria Delgado | MRN-004821 | Cardiology |
| James Okafor | MRN-007315 | Oncology |
| Priya Raman | MRN-002967 | Pediatrics |
| Daniel Kim | MRN-009142 | Orthopedics |
Real patient identities exposedIdentities protected, data still usable
Illustrative sample data
Works withRead from one, write to another
- PostgreSQL
- MySQL / MariaDB
- SQL Server
- Snowflake
- Amazon S3
- Azure Blob Storage
- CSV downloads
Solutions
Built for every team that depends on sensitive data
Different teams, the same problem: the data they need carries real identities. Find yours.
Data and AI
Put valuable data to work
Help analytics and AI teams use sensitive enterprise data more safely and with less access friction.
Explore ANON for Data and AIPlatform and Infrastructure
Reduce repetitive data preparation
Create a more consistent process for protecting, refreshing, and providing datasets to internal teams.
Explore ANON for Data PlatformsSecurity and Governance
Reduce identity exposure
Protect sensitive information outside production and improve visibility into how data is prepared and used.
Explore ANON for GovernanceNot sure where ANON fits? We'll map it to your workflow.
Book an ANON Demo
How ANON works
From sensitive to safely usable in four steps
ANON handles the protection, so your teams can get on with the work.
12 masking techniquesIllustrative examples
Fake data
Swaps in realistic values from about 80 data types, including names, addresses, national IDs, medical codes and financial data.
BeforeMaria Lopez
AfterDaniel Reyes
Scan results: patientsIllustrative example
patient_namemrndate_of_birthphoneemaildepartment
Run: monthly QA refreshIllustrative example
Source: SQL Server, productionNever modified
- PostgreSQL: qa_stagingWritten
- Snowflake: analyticsWritten
- Amazon S3: vendor share (CSV)Written
- CSV downloadReady
Activity logIllustrative example
- Scheduled run started: monthly QA refreshScheduler
- Run report createdSystem
- Teams alert sent: run succeededSystem
- Rules saved as version 4, compared with v3Developer
- Activity log exported to CSVAdmin
See ANON applied to your data workflow.
Book an ANON Demo
Features
Everything it takes to make production data safe to use
A de-identified copy that still loads, joins and tests like the original.
Move toward an edge to explore
See these features on your own schema.
Book an ANON Demo
Security and compliance
Careful with sensitive data, inside and out
ANON protects data outside production, and treats your connections and records with the same care.
18
HIPAA Safe Harbor identifiers. ANON's detection maps to every one of them, which makes it a strong fit for health data.
Helps you meet HIPAA, GDPR, CCPA and PCI DSS requirements
HIPAADetection maps to the 18 Safe Harbor identifiers.
GDPR & CCPARemoves or masks personal data in non-production copies.
PCI DSSMasks card and account numbers, so test systems hold no real card data.
Encrypted credentials
Connection passwords are stored with AES-256-GCM encryption.
TLS connections
Encrypted connections to your databases, including mutual TLS for PostgreSQL.
Role-based access
Admin, developer, scheduler and viewer roles.
Invite-only sign-in
Accounts exist only by invitation, so nobody signs themselves up.
Audit log
A record of activity with CSV export, plus a report for every run.
Source never modified
ANON writes to a separate destination and blocks writes back to the source.
Bring your security questions to the demo.
Book an ANON Demo
Deployment options
Run ANON in your cloud, or let us run it for you
Two ways to run ANON. The same protection either way.
Self-hosted
Best for regulated teams
Run it in your cloud
Your data never leaves your walls.
- Stays in your network
- Your security rules
- Full control
Fully managed
Best for a fast start
We run it for you
Stratsy hosts and manages it.
- Nothing to install
- Upgrades handled
- Encrypted connections
Same ANON either way
- 12 techniques
- Keys and joins intact
- Role-based access
- Audit log
- Source never modified
Not sure which fits? We'll help you choose in the demo.
Book an ANON Demo
Why ANON
What masking scripts can't do
ANON does what hand-written scripts can't, without the effort of a heavyweight enterprise suite.
Hand-written scripts
The manual way
- Finding sensitive columnsManual spreadsheet review
- Keeping foreign keys workingOften breaks joins
- Several databasesA separate script per platform
- Repeating it monthlyRe-run and hope
- Proving it to auditorsLittle or no record
- Who can use itEngineers only
ANON
Automatic, repeatable, auditable
- Finding sensitive columnsOne-click PII and PHI scan with suggested techniques
- Keeping foreign keys workingAutomatic key mapping, including multi-column keys
- Several databasesFour databases and two storage services in one tool
- Repeating it monthlySaved, versioned rules on a schedule
- Proving it to auditorsAudit log, run reports and version history
- Who can use itA guided, step-by-step wizard
Ready to retire your masking scripts?
Book an ANON Demo
Use cases · Healthcare example
Realistic QA data. No real patients.
An illustrative example: a healthcare analytics team refreshes its QA data every month.
The challenge
A copy of the patient database for a new QA environment.
Who needed it
The QA team testing the analytics application.
What slowed it
A straight copy exposes real patients, and scripts break the links between tables.
What improved
QA gets realistic data, and no real patient leaves production.
How ANON fit into the workflow
- 1ScanFlags PHI columns
- 2MaskFake data, shifted dates
- 3Keep IDsConsistent across tables
- 4PreviewBefore anything is written
- 5ScheduleA fresh copy monthly
Facing a similar challenge? Let's walk through it together.
Book an ANON Demo
About the team
Built by Stratsy
ANON is built and supported by Stratsy, a technology firm with more than eight years of data, analytics, AI, and application work for enterprise and public sector organizations.
- Experience in data-sensitive sectors. Stratsy has worked with organizations in high-tech, healthcare, the public sector, and aviation.
- Product and data expertise together. The team that builds ANON also delivers data analytics and AI projects.
- Team profiles: add names, roles, and photos of the ANON team.
Emailinfo@stratsy.usWrite to the ANON team
Phone+1-817-539-6489Speak with our team
Office1680 Keller Parkway, Suite #109Keller, TX 76248
Talk to the team behind ANON.
Book an ANON Demo
Resources
Insights on using sensitive data well
Practical reading on test data, privacy, analytics, AI, governance, and non-production data.
Move toward an edge to explore
Want to see how this could work in your environment?
Book an ANON Demo
FAQ
Questions teams ask before a demo
Straight answers about your data, your source systems, where ANON runs, and how it works.
Book an ANON DemoDoes ANON change my source data?
No. ANON writes to a separate destination and blocks writes back to the source.
Can I see the result first?
Yes. Dry runs and output previews come before every write.
Can the masked data be reversed?
No. The output can't be turned back into the original values.
Does ANON use AI on my data?
Detection and masking are rule-based and use no AI. Only the Beta subsetting and synthesis tools use Azure OpenAI.
Which databases does ANON support?
PostgreSQL, MySQL/MariaDB, SQL Server and Snowflake, plus CSV files in Amazon S3 and Azure Blob Storage.
Will foreign keys and joins still work?
Yes. A foreign key is transformed the same way as the primary key it points to, so joins still match. Multi-column and self-referencing keys are handled.
Which regulations does ANON help with?
ANON helps you meet HIPAA, GDPR, CCPA and PCI DSS requirements. Its detection maps to HIPAA's 18 Safe Harbor identifiers.
Can I try ANON myself?
ANON accounts are invite-only, so the best way to see it is a demo on your own schema.
Can we host ANON in our own cloud?
Both are options. ANON can be self-hosted in your own cloud infrastructure, so your data never leaves your walls, or Stratsy can host and manage it for you. Compare the deployment options.