Turn the Privacy Program into a Profit Center with Enhanced Security, Reduced Cost, and Compliance
TurtleShield DM (Data Minimization) helps you reduce excess data and focus on enterprise-centric data. It can provide detailed insights to get rid of non-essential data, reducing cost of security and storage and building confidence of business owners and data custodians.
Key Features
Minimize Data
Comply with laws and regulations
Save Cost
The Growth Challenge
- As data becomes a business driver, collecting and storing excess data has become a common practice among businesses leading to improper data management.
- Collection and use of data, more than what is required by organizations, has given rise to non-regulatory data practices.
How to overcome it
TurtleShield provides AI-based intelligence to deliver actionable insights into data, helping identify indicators of minimization and assess retention parameters, without relying on traditional tools. It enables organizations to reduce their sensitive data footprint and overall risk through automation, while giving data owners greater visibility and confidence in their data assets.
Key Capabilities:
- Rapidly discover and analyze data across systems
- Identify indicators for data minimization and retention
- Detect and delete duplicate or redundant data with assured deletion
The TurtleShield DM (Data Minimization) module helps organizations realistically minimize excess data and align with the data minimization principle.
It focuses on reducing sensitive data such as PII and PHI, helping organizations avoid legal liabilities and mitigate risks in the event of a breach.
Problems it addresses
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TurtleShield DM provides detailed insights to get rid of non-essential data, reducing cost of security and storage and building confidence of business owners and data custodians.
How It Works
TurtleShield provides AI based intelligence to provide insights into data for indicators of minimization along with retention based parameters without relying on traditional tools. Reduce sensitive data footprint and organizational risk by automation and confidence by providing insights to data owners.
