How to quickly build sensitive Data Inventory | Map Business Critical Data

Key features of this particular module

Data Discovery

Discover

Data Identify

Identify

Data Mapping

Map

Discover and Identify Data Assets

The Challenge of Unknown

The Challenge of Unknown

Designing a data privacy program starts with data inventory and mapping.

Move beyond questionnaires or spreadsheets and auto-generate them from actual data. It means knowing where your data resides and identify what data matters the most.

How to Overcomeit

How to Overcome it

TurtleShield DI (Data Inventory) is designed to help you know enterprise-wide data footprint accurately so that business/data owners can make informed decisions on data inside out.

Parameters like sensitivity of data, excess data, retention requirements, and departmental ownership are identified, and insights are generated to take action on that data.

It automates your data asset inventory and performs auto-tagging at high-speed using machine learning.

Challange of Unknown

The Challenge of Unknown

Designing a data privacy program starts with data inventory and mapping.

Move beyond questionnaires or spreadsheets and auto-generate them from actual data. It means knowing where your data resides and identify what data matters the most.

How to Overcomeit

How to Overcome it

TurtleShield DI (Data Inventory) is designed to help you know enterprise-wide data footprint accurately so that business/data owners can make informed decisions on data inside out.

Parameters like sensitivity of data, excess data, retention requirements, and departmental ownership are identified, and insights are generated to take action on that data.

It automates your data asset inventory and performs auto-tagging at high-speed using machine learning.

Problems It Addresses

Full-visibility into enterprise-wide data assets and prioritization of controls on business-critical data. Implement data-centric security rather than only perimeter-focused/network security.

The DI module generates reports based on actual data such as PII or Data Asset Inventory, Article 30 (Record of Processing Activities), Information Asset register (ISO 27001), CUI, FCI Reports for CMMC compliance.

TurtleShield DI is designed to help you respond to Data Subject Access Requests (DSAR) smartly and quickly on holistic data enterprise-wide data rather than presumed data-sources.

Full-visibility into enterprise-wide data assets and prioritization of controls on business-critical data. Implement data-centric security rather than only perimeter-focused/network security.

Problems Addresses

How It Works

Power yourself by scanning content across servers, work stations, laptops and more to create a digital footprint of all the data. Run a ML-based process to identify data and add attributes and scores based on name, size, sensitivity, and risk profile, and more.

Discover data hosted on-premises, on the cloud, or hybrid environments.

TurtleShield DI automates data inventory and provides privacy insights into data. It provides risk scores providing actionable intelligence.

Rapidly detect sensitive data, and provide an organizational data map.

How It Works line 1 How It Works line 2

Industry Scenario : Legal

Prior to GDPR and CCPA, data inventories were used by legal departments for early case assessment. They would understand the data held by their organization to respond to litigation complaints and regulatory actions effectively.

Responsive information

A data inventory allows the legal department to assess the repositories that held potentially responsive information.

legal hold

The department can estimate the data that should be placed on a legal hold.

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Industry Scenario
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