Data Minimization (DM)

Less storage, lower security overhead, and streamlined compliance reduce operational spend

Enforces regulations mandating limited data retention and collection

Responsible data use demonstrates commitment to privacy, sustainability, and data ethics

Analyzes datasets to identify excess, outdated, or duplicated data. Ranks PII and PHI for minimization priority

Executes secure deletion or archival of non-essential data, ensuring compliance with data retention policies and regulations

TurtleShield’s patent covers “minimization without reading data content,” enabling fast, accurate action at enterprise scale

Provides insights and dashboards for data owners, highlighting excess footprints, deletion metrics, and regulatory alignment

Analyzes datasets to identify excess, outdated, or duplicated data. Ranks PII and PHI for minimization priority

Executes secure deletion or archival of non-essential data, ensuring compliance with data retention policies and regulations

Aligns with global data minimization principles, helping organizations adhere to GDPR, CCPA, India’s DPDPA, MODPA, and similar mandates

Reduces excess data accumulation, which in turn decreases the scope and severity of potential breaches

TurtleShield's unique, patented ML/NLP engine helps businesses discover, identify, inventory, map, minimize, and securely delete personal data. It helps enterprises to comply with global data protection regulations and frameworks

Cuts unnecessary data expenses while enhancing security posture, transforming privacy efforts from cost centres into business enablers