Data Discovery Solutions | Ardent Federal

Data Discovery and Intelligence

Data discovery is time consuming, expensive and resource intensive which is a show-stopper for companies to implement effective privacy and security with data discovery. Our solution TurtleShield Data Discovery and Intelligence innovates with the ability to discover data at scale and helps to take quick action. It will help companies reduce cost of data security & privacy compliance. It makes it possible to reach datasets otherwise would not have been possible with traditional discovery methods.

Ardent Federal’s TurtleShield Data Discovery and Intelligence solution combines advanced technology with user-friendly features to help businesses manage sensitive data effectively while ensuring compliance with various laws and regulations which involve data protection. By automating data discovery and mapping processes, it reduces the manual workload on organizations and enhances their ability to protect consumer data.

Key Features

Data Discovery

Data Identify

Data Mapping

Data Discovery

Why Is Data Discovery and Intelligence Important?

The benefits of data discovery and intelligence 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 and Intelligence

Ardent Federal’s TurtleShield Data Discovery solution 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 regulations, such as FERPA, COPPA and HIPPA 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

Automated Data Inventory and Mapping
Data Discovery: The solution 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 solution 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.
Machine Learning and AI-Powered Automation
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 solution allows businesses to prioritize the data most at risk and implement necessary security controls.
Compliance Facilitation
Regulatory Compliance: TurtleShield helps companies meet regulatory requirements, including FERPA, COPPA, HIPAA, and others. It offers a detailed understanding of sensitive data, which is crucial for meeting compliance deadlines.

Data Minimization: The solution 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.

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.