Data Discovery,
Classification and
Mapping
Involves identifying where personal data resides across systems, applications, and third parties, and categorizing it based on sensitivity, purpose, and risk. RoPA provides a structured record of how personal data is collected, used, shared, and retained, enabling transparency, accountability, and demonstrable compliance.
Key Features & Capabilities
Automated Data Discovery
Automatically scans structured and unstructured data repositories to identify personal and sensitive personal data across on-premise and cloud environments. This ensures complete visibility of data assets for accurate DPDPA applicability and compliance.
Data Classification and Tagging
Classifies data based on sensitivity, purpose, data principal category, and risk level using predefined DPDPA-aligned taxonomies. Consistent tagging enables enforcement of appropriate security, retention, and consent controls.
Data Flow Mapping
Maps end-to-end data flows from collection to deletion, including internal processing and third-party sharing. This supports transparency, RoPA creation, and identification of compliance gaps.
Purpose and Lawful Basis Mapping
Links each data element to its processing purpose and lawful basis such as consent or legitimate use under DPDPA. This ensures data is not processed beyond its declared and approved purpose.
Third-Party and Cross-Border Mapping
Identifies data shared with processors, vendors, and external entities, including cross-border transfers. This enables effective vendor risk management and compliance with transfer restrictions.
Risk Scoring and Impact Indicators
Assigns risk scores to datasets and processing activities based on volume, sensitivity, and exposure. This helps prioritize remediation and determine the need for impact assessments.
Audit-Ready Documentation and Reporting
Automatically generates RoPA, data inventories, and compliance reports aligned with DPDPA requirements. This ensures evidence readiness for audits, regulatory reviews, and internal governance.
Comprehensive. Timely. Assured
Comprehensive – Is the entire data lifecycle covered?
End-to-end visibility across the entire data lifecycle by identifying, classifying, and mapping personal data across systems, processes, and third parties. Its comprehensive coverage ensures accuracy, risk prioritization, and audit-ready documentation, enabling scalable and sustainable DPDPA compliance.
Timely – Does Sigmify GRC help in meeting prescribed timelines?
Ensure timeliness by enabling automated data discovery, continuous monitoring, and real-time updates to data maps and compliance status. This allows organizations to promptly identify changes, respond to risks, and meet DPDPA obligations within prescribed timelines.
Assured – How does Sigmify GRC provide assured results?
embedded standardized controls, automated validations, and evidence-based reporting across the compliance lifecycle. This ensures consistent outcomes, reduced compliance gaps, and demonstrable adherence to DPDPA requirements with measurable maturity improvement.
