Data Discovery | Data Identification | Data Mapping - Ardent Privacy

Key features of this particular module

Data Discovery

Discover

Data Identify

Identify

Data Mapping

Map

Data Discovery

Data Discovery Important

Why Is Data Discovery Important?

The benefits of data discovery for businesses include:

  • Enhanced process of understanding the data the business owns, where it is stored, who can access it and where, and how it will be transmitted

  • Continuous and comprehensive monitoring of data access and activity

  • Risk management and regulatory compliance

  • 100% data visibility

  • Data classification based on context

  • Identification, classification, and tracking of sensitive data

  • Clean and reuse data

  • Scale data across teams

How "TurtleShield" can Help with Data Discovery Process

Ardent Privacy's TurtleShield Data Discovery tool focuses on automating the discovery, identification, and mapping of sensitive data within a company’s data ecosystem. By leveraging machine learning, it helps businesses catalog data, enabling them to prioritize which data is at risk and implement the necessary security controls. This significantly enhances data hygiene by allowing companies to focus on retaining only the data required for business operations, reducing exposure to potential breaches.

TurtleShield is particularly useful for companies looking to comply with stringent data privacy regulations, such as DPDPA, CCPA, GDPR, by enabling automated data inventories rather than relying on manual spreadsheets or questionnaires. It facilitates not only regulatory compliance but also ensures greater transparency between companies and their customers regarding how data is managed.

Data Discovery Important

Why Is Data Discovery Important?

The benefits of data discovery for businesses include:

  • Enhanced process of understanding the data the business owns, where it is stored, who can access it and where, and how it will be transmitted

  • Continuous and comprehensive monitoring of data access and activity

  • Risk management and regulatory compliance

  • 100% data visibility

  • Data classification based on context

  • Identification, classification, and tracking of sensitive data

  • Clean and reuse data

  • Scale data across teams

How to Overcome it

Ardent Privacy's TurtleShield Data Discovery tool focuses on automating the discovery, identification, and mapping of sensitive data within a company’s data ecosystem. By leveraging machine learning, it helps businesses catalog data, enabling them to prioritize which data is at risk and implement the necessary security controls. This significantly enhances data hygiene by allowing companies to focus on retaining only the data required for business operations, reducing exposure to potential breaches.

TurtleShield is particularly useful for companies looking to comply with stringent data privacy regulations, such as DPDPA, CCPA, GDPR, by enabling automated data inventories rather than relying on manual spreadsheets or questionnaires. It facilitates not only regulatory compliance but also ensures greater transparency between companies and their customers regarding how data is managed.

Here’s a detailed breakdown of its features

  • Data Discovery: The tool scans an organization’s entire data ecosystem to discover where sensitive data resides. This includes structured and unstructured data stored across various systems, both on-premises and in the cloud.

  • Data Identification: After discovery, the tool categorizes and identifies sensitive data types such as personally identifiable information (PII), financial records, health data (HIPAA), and more.

  • Data Mapping: It maps the flow of data across the organization, helping visualize data processing activities. This ensures that organizations know where their critical data is stored, processed, and transferred, which is essential for compliance.

  • Smart Data Cataloging: TurtleShield uses machine learning and natural language processing (NLP) to automatically catalog discovered data. This is key for reducing manual errors and enabling more efficient data governance.

  • Risk Prioritization: By identifying sensitive data and its locations, the tool allows businesses to prioritize the data most at risk and implement necessary security controls​.

  • Regulatory Compliance: TurtleShield helps companies meet regulatory requirements, including GDPR, CCPA, HIPAA, and others. It offers a detailed understanding of sensitive data, which is crucial for meeting compliance deadlines for data subject access requests (DSARs) and the right to be forgotten.

  • Data Minimization: The tool helps organizations implement data minimization principles by identifying and eliminating redundant, obsolete, or trivial data. This reduces storage costs and limits the scope of data that could be exposed in a breach.

  • Customer Data Rights: TurtleShield allows companies to honor data privacy rights by easily locating and managing customer data. For instance, it enables organizations to respond to access, correction, deletion, and opt-out requests, ensuring compliance with privacy laws​.

  • Consumer Trust: By managing customer data efficiently and transparently, companies can build greater trust with their stakeholders.

  • Visualization and Reporting: TurtleShield provides intuitive dashboards and reports, making it easier for privacy officers and IT teams to monitor data risks and compliance status in real-time. The reports are also useful for audits and regulatory reviews.

  • Cross-Platform Integration: The tool integrates seamlessly with existing IT infrastructure, whether on-premises or in the cloud. It supports various platforms and databases, allowing businesses of all sizes to incorporate it into their workflows.

  • Scalable: It scales with the size of the organization, making it a suitable solution for both SMBs and large enterprises.

  • Data Protection: Once sensitive data is discovered and mapped, TurtleShield helps apply necessary security measures such as encryption, access controls, and monitoring. It ensures that only authorized users have access to sensitive information​.

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 Data discovery 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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Featured News & Blogs

Evolution of Data Protection Laws in India
DPDPA Compliance: Is It Worth Waiting for Final Rules or Acting Now?
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