v1.0.0
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Dataskope Suite · Module

Data Discovery

Sensitive Data Discovery & Classification

Find sensitive data
wherever it lives.

Data Discovery scans your databases and file shares without agents, classifies sensitive columns with rule-based and AI-assisted classification, and gives every column a risk score. You know exactly where personal and regulated data sits.

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File type, risk level, risk category, and scan result distribution
Capabilities

Discover.
Classify. Govern.

From the first scan to audit-ready reports, Data Discovery builds the sensitive data inventory that the rest of the suite relies on.

01

Agentless scanning

Connect to relational databases, ODBC sources, and file shares over SMB and NFS. Metadata scanning, sampling, and classification run without installing anything on your sources.

RDBMSODBCSMBNFS
02

Rule-based classification

Classify with list, regex, algorithm, number, and date rules, including column-name patterns. Ready-made rule sets cover Turkish, English, and Arabic data with local formats such as TCKN, VKN, and IBAN.

RegexAlgorithmTCKNIBAN
03

AI-assisted review

An AI assistant suggests classifications and speeds up column review, so analysts confirm results instead of labeling every column by hand.

AIColumn review
04

Column risk scoring

Every classified column gets a risk score from 0 to 100, based on how sensitive the data is and how often it matched. Risk labels and weights let you decide what counts as high risk.

Risk scoreRisk labels
05

Compliance reports

Map findings to the built-in PII, GDPR, PCI DSS, and KVKK standards and generate compliance reports for your auditors.

PIIGDPRPCI DSSKVKK
06

Data governance

Keep a data catalog with version history, and manage the business glossary, data ownership, relationships, and tags.

CatalogGlossaryOwnership
How it works

From metadata to inventory.

Data Discovery reads metadata, samples column data, and classifies it in a dedicated engine. Reviewed results become the inventory that other modules use.

1

Scan

Read schemas, tables, and columns from your sources and file shares.

MetadataFile shares
2

Sample

Sample column data and stream it to the classification engine.

SamplingStreaming
3

Classify

Apply rules and AI assistance, then score each column for risk.

RulesAIRisk score
4

Review

Analysts confirm results; the inventory feeds masking, monitoring, and privacy.

Column reviewInventory
Use case · Inventory

Know where personal data lives.

Most teams cannot answer a simple question: which tables hold personal data? Data Discovery answers it across databases and file shares, and keeps the answer current with scheduled scans.

  • Sensitive columns classified per source, schema, and table
  • Local formats such as TCKN, VKN, and IBAN recognized
  • Risk score per column to prioritize work
  • Ownership and tags to assign follow-up
Discovery dashboard with sensitive columns, data distribution, and classification status
Classifications included in a compliance report
Use case · Compliance

Turn classification into audit evidence.

Map what you found to the standards you report against. Built-in PII, GDPR, PCI DSS, and KVKK standards turn classification results into compliance reports.

  • Built-in PII, GDPR, PCI DSS, and KVKK standards
  • Compliance reports from classification results
  • Catalog version history to show what changed
  • Results shared with masking and privacy modules
4
Built-in standards: PII, GDPR, PCI DSS, KVKK
3
Ready-made rule set languages: Turkish, English, Arabic
0–100
Risk score for every classified column
5
Rule types: list, regex, algorithm, number, date
FAQ

Questions & answers.

Do I need to install agents on my databases?
No. Data Discovery connects to your sources directly and scans them without agents.
Which sources can I scan?
Relational databases, ODBC sources, and file shares over SMB and NFS.
Can I add my own classification rules?
Yes. Next to the ready-made rule sets, you can define your own list, regex, algorithm, number, and date rules, including column-name patterns.
How do the other modules use the results?
Dynamic Data Masking can assign masking methods from classification results, Privacy Management reads the inventory, and Test Data Management uses it to decide how each column should be generated.

Explore the other modules

Real-Time Data Masking

Dynamic Data Masking

Mask sensitive data in query results for unauthorized users, without touching the source data.

Database Audit & Alerting

Database Activity Monitoring

Detect, classify, alert on, and report the events in your database systems.

Database Activity Analytics

Data Security Posture Management

Turn database activity into access visibility, anomaly alerts, and scheduled access reports.

KVKK & GDPR Privacy Operations

Privacy Management

Run consents and data subject requests for KVKK and GDPR in one place, with deadlines tracked.

Masked & Synthetic Test Data

Test Data Management

Give development and QA teams masked or synthetic data, orchestrated as reusable scenarios.

See Data Discovery on your own data.

Book a demo and we will show you how Data Discovery finds and classifies sensitive data in your environment.

Book a demo→Read the docs

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