Move from blind data sprawl
to intelligent data understanding
and governance.

Key capabilities Use cases Why us

Organisations cannot govern data they cannot see. And traditional data catalogs can no longer stop at metadata tagging and manual classification.

Instead of waiting for manual data audits and compliance reviews, AI agents

  • Discover all data assets across the enterprise,
  • Classify data by sensitivity, type, and business value,
  • Understand data relationships and lineage automatically,
  • Monitor data quality and governance compliance continuously.

This is not data governance supported by AI. This is data governance run by intelligence.

Key capabilities

Intelligent Data Discovery & Inventory

  • Automatically discovers all data assets across databases, data lakes, and cloud storage
  • Maps data lineage and relationships across systems and applications
  • Identifies shadow IT and unmanaged data repositorie in real time

Autonomous Data Classification & Tagging

  • Classifies data by sensitivity, type, and regulatory
    requirements automatically
  • Applies consistent tagging across heterogeneous data
    environments
  • Continuously updates classifications based on data
    content analysis

Sensitive Data Detection & Privacy Protection

  • Identifies personally identifiable information (PII) and sensitive data patterns
  • Detects regulatory data (GDPR, CCPA, HIPAA, SOX) across repositories
  • Masks or redacts sensitive data in non-production environments automatically

Data Quality & Integrity Monitoring

  • Continuously monitors data quality metrics and identifies anomalies
  • Detects data drift, inconsistencies, and completeness issues
  • Triggers alerts and remediation workflows for quality violations

Business Context & Metadata Enrichment

  • Automatically enriches data with business context and ownership information
  • Connects technical metadata to business glossaries and data dictionaries
  • Identifies data usage patterns and business dependencies

Compliance & Risk Assessment

  • Continuously assesses data governance and compliance posture
  • Identifies regulatory risks and data exposure vulnerabilities
  • Generates compliance reports and audit trails automatically

Use cases

Data Privacy & Protection

Detects PII and sensitive data
across repositories. Enables
automated masking and redaction
for non-production use.

Data Quality Assurance

Continuously monitors data
quality and identifies issues.
Triggers remediation workflows
to maintain data integrity.

Shadow IT & Unmanaged Data Detection

Identifies data repositories outside
official governance. Brings
unmanaged data under compliance
and security controls.

Business Metadata & Lineage Mapping

Automatically maps data lineage
and business relationships. Enables
impact analysis and dependency
tracking.

Why us

Data Discovery & Classification, not manual tagging

Built as an agentic AI system from the ground up. Automatically discovers, classifies, and enriches data without manual intervention.

Built to coexist, not replace

Integrates seamlessly with existing data catalogs, governance tools, and security platforms. Amplifies their value.

Autonomous, but human-controlled

Enables machine-speed discovery with human oversight. Data stewards remain in control. AI amplifies their governance capabilities.

AI embedded into data governance

Applies machine learning where it matters. Pattern recognition, sensitivity detection, and compliance assessment.

Continuous intelligence by design, not periodic audits

Continuously scans and updates data understanding. Does not rely on manual audits or point-in-time assessments.

Ready for data-driven enterprises

Becomes the intelligence layer that enables secure, compliant, and efficient data governance at scale.

Question Mark

Get in Touch

Have a question? We'd love to hear from you. Send us a message and we'll respond as soon as possible.

    contact@istreetnetwork.com