Technical implementation guide for automated data discovery and classification systems to enhance DPDPA compliance through systematic data inventory and categorization.
Automated data discovery and classification systems are essential components of modern DPDPA compliance programs, enabling organizations to maintain comprehensive data inventories and implement appropriate protection measures based on data sensitivity levels.
Automated scanning and identification of data repositories across databases, file systems, cloud storage, and applications to maintain comprehensive data inventory for DPDPA compliance.
Machine learning-based classification of data elements based on sensitivity levels, regulatory requirements, and business context to enable appropriate protection controls.
Automated application of data protection policies based on classification results, including access controls, encryption requirements, and retention policies.