Skip to main content
Version: Next 🚧

Data Assets

Manage and protect data storage systems with classification, encryption tracking, access controls, and compliance monitoring.

Data Asset Types​

Databases​

  • Relational databases (SQL Server, PostgreSQL, MySQL)
  • NoSQL databases (MongoDB, Redis, Cassandra)
  • Data warehouses
  • Analytics databases

File Storage​

  • Network file shares
  • Cloud storage (S3, Azure Blob, GCS)
  • Document management systems
  • Backup storage

Data Flows​

  • ETL pipelines
  • Data streaming
  • API data exchanges
  • Integration points

Sensitive Data​

  • Personal information (PII)
  • Payment data (PCI)
  • Health data (PHI)
  • Intellectual property

Data Dashboard​

Overview​

  • Total data assets
  • Classification breakdown
  • Encryption status
  • Compliance status

Data Risk​

  • High-risk data locations
  • Unprotected sensitive data
  • Access anomalies
  • Compliance gaps

Managing Data Assets​

Registering Data Assets​

  1. Navigate to Asset Management → Data Assets
  2. Click Add Data Asset
  3. Enter details:
    • Name and description
    • Type and location
    • Owner
    • Classification
  4. Configure security settings
  5. Save asset

Data Discovery​

Automatically find data:

  • Database scanning
  • File share discovery
  • Cloud storage enumeration
  • Data flow mapping

Data Classification​

Classify data by sensitivity:

  • Public - No restrictions
  • Internal - Organization only
  • Confidential - Limited access
  • Restricted - Highly sensitive

Classification Rules​

Define automatic classification:

  • Pattern matching
  • Content inspection
  • Location-based
  • Metadata-based

Data Security​

Encryption Tracking​

Monitor encryption status:

  • At-rest encryption
  • In-transit encryption
  • Key management
  • Encryption gaps

Access Controls​

Track data access:

  • Who has access
  • Access levels
  • Recent access
  • Access anomalies

Data Loss Prevention​

Protect against data loss:

  • Exfiltration detection
  • Unauthorized access
  • Policy violations
  • Incident response

Data Masking​

Protect sensitive data:

  • Production masking
  • Test data masking
  • Display masking
  • Dynamic masking

Data Compliance​

Regulatory Requirements​

Track compliance with:

  • GDPR (personal data)
  • PCI DSS (payment data)
  • HIPAA (health data)
  • Industry regulations

Data Retention​

Manage data lifecycle:

  • Retention policies
  • Deletion schedules
  • Archive requirements
  • Legal holds

Data Subject Rights​

Support compliance:

  • Access requests
  • Deletion requests
  • Data portability
  • Consent management

Audit Trails​

Complete logging:

  • Access logs
  • Change history
  • Export records
  • Query logging

Data Protection​

Backup Monitoring​

  • Backup status
  • Backup frequency
  • Recovery testing
  • Backup security

Disaster Recovery​

  • DR status
  • Recovery objectives
  • Failover testing
  • DR documentation

Data Integrity​

  • Integrity checks
  • Corruption detection
  • Version control
  • Validation rules

Data Lineage​

Data Flow Tracking​

Understand data movement:

  • Source systems
  • Transformation steps
  • Destination systems
  • Data dependencies

Impact Analysis​

Assess changes:

  • Upstream dependencies
  • Downstream impact
  • Breaking changes
  • Migration planning

Reporting​

Data Reports​

  • Inventory reports
  • Classification reports
  • Access reports
  • Compliance reports

Privacy Reports​

  • Personal data inventory
  • Consent status
  • Request tracking
  • Breach assessment

Best Practices​

  1. Discover all data - Know where data lives
  2. Classify properly - Accurate sensitivity labels
  3. Encrypt sensitive data - At rest and in transit
  4. Control access - Least privilege principle
  5. Monitor continuously - Watch for anomalies
  6. Meet compliance - Regulatory requirements

Related: