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Enov8 Test Data ManagerData Compliance Suite, DevSecOps Edition

Realistic test data. Without the privacy risk.

Test Data Manager finds where personal data hides, masks it with non-reversible rules that stay consistent across every system, and proves the result is compliant. Then it helps teams find, book and refresh the test data they need.

Book a demo Launch in-browser demo

Need a subset or synthetic data? That's DataFactory, the sister solution built into the same platform.

Scan · customer_core (example)Scanning…
customers.first_nameJaneName · PII
customers.emailjane.citizen@mail.comEmail · PII
customers.date_of_birth1984-03-12Date of birth
customers.tfn123 456 782Gov ID · TFN
customers.segmentRetailNot sensitive
payments.card_number4532 0151 1283 0366Card · PCI
payments.amount182.40Not sensitive
notes.free_text"call Jane on 0412…"Hidden PII in text
Free-text columns are where risk hides best.
3steps to compliant data: profile, mask, validate
12+data source types
1masking rule set, consistent on every platform
0reversible values left in test

01The problem

Projects need realistic data. Privacy law says protect it.

Every copy of production in a test environment carries personal data that must stay protected. Get it wrong and the cost is financial and reputational.

Built for obligations such asAPRAGDPRCCPAHIPAAPDPAPDPOFCRAECPA
One database, thousands of fields (example)
Can you spot the sensitive fields? Most teams can't, by hand.
Seas of dataPlatforms hold billions of data points.
Needles in haystacksRisk hides in odd columns and free text.
Manual and slowMonths of analysis, and errors creep in.
Rules keep movingPrivacy law changes. Breaches grow.

02The data bimodal

Secure the data. Keep delivery moving.

Test data has two jobs that pull against each other: stay safe, and stay fast. Test Data Manager covers both sides in one suite.

SECURE

Data security

Know your risk, remove it, and prove it's gone. AI and machine learning do the analysis that used to take months.

  • Profile to find PII and other sensitive data, including in free text
  • Mask with generated, deterministic routines you can re-run whenever new data lands
  • Validate data quality and that masking worked, ready for audit
Masking
StaticNon-reversibleDeterministicFormat-preserving
Outputs
Risk reportMasking routinesCompliance evidence
DELIVER

Test data delivery

Get the right data to the right team at the right time, without spreadsheets, SQL or clashes.

  • Find and reserve test data so one team uses it at a time
  • DataOps to schedule and automate refresh, masking and checks
  • Insights on usage, coverage, compliance and risk for every stakeholder
Works with
DataFactory · subsetsDataFactory · syntheticvME · virtual copies

03How it works

From risky copy to compliant data in four steps.

Set it up once. Every refresh after that runs the same way.

1

Connect

Point Test Data Manager at your databases and files, on-premises or in the cloud.

RelationalNoSQLFilesCloud
2

Profile

Automated scans find PII and sensitive data across every table and column.

AI & MLRisk report
3

Mask

Masking routines are generated from the profile. Run them now, and re-run them whenever new data arrives.

StaticDeterministic
4

Validate

Prove nothing sensitive is left and the data still works, then release it to the teams who booked it.

ComplianceQualityReserve

04Masking lab

Same person in, same mask out. In every system.

Masking is deterministic, so a customer masked in your CRM is masked the same way in billing and the warehouse. Joins still match and end-to-end tests still work.

Try it: change any value in the source record. Each system stores it differently, yet the mask stays consistent.

Source record · type to change
Showing
Run 1
CRM
Name
Email
DOB
Card
Billing
Name
Email
DOB
Card
Warehouse
Name
Email
Born
Card

✓ Email and card match across all three systems, so joins still work.

05Reserve & insights

Find it, book it, see how it's used.

Teams search for the data they need without writing SQL, then reserve it so nobody else changes it mid-test. Dashboards show everyone where things stand.

06DataOps

Static masking, by design. Automated, by default.

Test Data Manager masks the copy itself, so data at rest in test is protected. Dynamic masking only hides values on the way out and leaves the real ones sitting underneath.

✓Static masking (Test Data Manager)

  • Real values replaced in the copy
  • Protected at rest, not just on screen
  • Same result on every re-run

✕Dynamic masking

  • Real values left at rest in test
  • Protection depends on the access path
  • Copies and exports can leak originals

Refresh on a schedule

The DevOps manager schedules and automates data operations, so every refresh is masked and checked the same way.

New data→Profile→Mask→Validate→Test env

Part of your pipeline

Integrations connect Test Data Manager to the tools in your delivery chain, for continuous data integration and delivery.

CI/CD pipeline→Test Data Manager→Compliant data

07Enov8 data family

One platform. Three data solutions.

Test Data Manager secures the data you keep. Its sister solutions shrink it, generate it and copy it, all in the same Enov8 platform.

Subsets and synthetic data now come from DataFactory.Cut a large database down to size with every relationship intact, or generate realistic data from nothing but a schema, with no real customer involved.
Explore DataFactory
Test Data Manager + DataFactory

Mask what you keep. Replace what you don't.

Prune a production copy to size, then mask it here. Or skip real data entirely with Bloom.

Explore DataFactory →Test Data Manager + VirtualizeMe

Mask once. Clone in seconds.

Mask a golden copy, then hand out lightweight virtual copies up to 100x smaller and faster to provision.

Explore VirtualizeMe →Test Data Manager + Env & Release Manager

Book the environment. Then the data.

Line up environment bookings and data reservations so tests run on the right data, in the right place.

Explore Environment & Release Manager →

08Sources & benefits

Works with the data you already run.

Relational databases, NoSQL, flat files, big data and native cloud database services.

OracleMicrosoft SQL ServerIBM Db2PostgreSQLMySQLMariaDBSybaseMongoDBCouchbaseAmazon RedshiftAWS databasesAzure databasesFlat files
See all integrations →
SimplicityEasy to learn and on-board, with a straightforward end-to-end process for technical and non-technical users.
ComplianceIdentify risk, avert breaches, protect customer identity and avoid penalties.
SpeedFast risk analytics, rapid remediation, automated validation and push-button data.
DevOps-ableContinuous data integration and delivery, automatable operations, repeatable standards.

Make your test data safe to use.

Book a free 30-minute session. We'll look at your data landscape and show you Test Data Manager on a use case like yours.

Book your free consultation Watch the short demo
What you get
1Free 30-minute session. No cost, no commitment.
2Tailored recommendations for your use case.
3An implementation roadmap you can act on.
Bloor InBrief: Test Data ManagerTest Data ROI calculatorThe eBook of TDM