Personal Data Discovery & Inventory for Digital Privacy Compliance

Get a clear, real time view of where personal data exists enhanced with continuous monitoring, SIEM, HRM driven visibility, and real time data intelligence.

Where Things Break

Personal data is everywhere… but visibility isn’t.

Personal data sprawls across CRMs, data lakes, logs, analytics tools, and third-party integrations. Static audits and manual spreadsheets can’t keep pace, creating blind spots that regulators increasingly penalize especially when system logs and SIEM, HRM signals go unmonitored.

  • Shadow IT and legacy systems hold undocumented personal data
  • Point in time inventories become stale immediately after completion
  • Incomplete records delay Data Subject Request (DSR) responses
  • GDPR enforcement actions consistently cite poor data inventories

Sigmify GRC Approach

AI driven discovery that keeps pace with your data

1. Comprehensive data discovery

Identifies personal data using pattern recognition and contextual analysis, enriched with SIEM-integrated data sources, system logs, and event correlation for deeper visibility

2. Validation of trusted systems

Confirms data presence in approved environments, supported by SIEM monitoring and validation against real-time activity signals

3. Risk detection in real time

Flags unexpected or unauthorized data locations using continuous monitoring, anomaly detection, and SIEM-driven alerts

4. Always current inventory

Maintains a continuously updated, audit-ready data inventory with real-time synchronization from system logs, integrations, and SIEM data streams

5. Built for change

Automatically adapts to new systems, tools, and data sources, leveraging integration-driven updates and SIEM-enabled visibility into evolving environments

Value Delivered

1. Stronger compliance accountability

Aligned with evolving data privacy requirements, supported by real-time monitoring, audit trails, and SIEM-backed visibility

2. Faster, more accurate responses

Efficient handling of access and deletion requests with improved data accuracy through continuous discovery and validation

3. Reduced risk exposure

Eliminates unknown or unnecessary data retention, with better visibility into data sprawl through logs and SIEM, HRM insights

4. Audit confidence

Be fully prepared with clear, evidence-backed data insights derived from continuous monitoring, system logs, and SIEM correlation

Proof

Large telecom and financial services organizations globally have used similar AI based discovery approaches to uncover personal data locations that were missed during years of manual assessments.

Reduction in discovery effort

Significant

Improvement in response timelines

Call to Action

Move from assumptions to evidence

Proof

Proven outcomes across industries

Uncovered data missed during years of manual tracking

Reduced discovery effort by
50%+

Improved response timelines significantly