Key features of this particular module

Minimize

Comply

Save Cost

Comply with Regulations Reduce Cost Security and Privacy

The Growth Challenge

As data become 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 which is required, by organizations has given rise to non-regulatory data practices.

How to overcome it

TurtleShield DM (Data Minimization) helps businesses minimize excess data realistically and adhere to data minimization principle.

It prioritizes the minimization of sensitive data such as PHI and PII to avoid legal liabilities and reduce risk substantially in case of breaches.

The Growth Challenge

As data become 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 which is required, by organizations has given rise to non-regulatory data practices.

How to overcome it

TurtleShield DM (Data Minimization) helps businesses minimize excess data realistically and adhere to data minimization principle.

It prioritizes the minimization of sensitive data such as PHI and PII to avoid legal liabilities and reduce risk substantially in case of breaches.

Problems It Addresses

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.

TurtleShield DM helps minimize data safely and securely with AI based intelligence and insights for data owners helping the data teams in the process.

Turn privacy program into profit center with enhanced security, reduced cost, and compliance.

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.

Discover data rapidly from data
sources

Identify indicators of minimization by
analyzing data

Take action/delete data on duplicate
data with assured deletion.

Industry Scenario : Mobility

Rideshare and such other businesses need robust data minimization plans that can create user verification and screening processes to remove excess data. With these initial assessment procedures in place, organizations can gather only usable information from verified sources.

Spot someone attempting to submit another person’s personal details

Cut the risk of storing fraudulent and unconditioned data.

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