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BackWhat is Data Discovery?
Data discovery is the process of identifying, locating, and understanding data across an organization’s IT environment. It helps organizations determine what data they have, where it resides, who can access it, and how they should protect it.
Organizations store data across endpoints, servers, cloud platforms, databases, SaaS applications, and file shares. Without a clear inventory of this information, security teams struggle to protect sensitive data, enforce access controls, and comply with regulatory requirements. It provides the visibility needed to build effective data governance and cybersecurity programs.
Organizations often perform data discovery as the first step before implementing data classification, data loss prevention (DLP), or privacy compliance initiatives.
Why it matters
Organizations cannot protect data they cannot find. As data volumes continue to grow, sensitive information often spreads across multiple systems, creating blind spots and increasing security risks.
It helps organizations:
- Identify sensitive and regulated information.
- Locate data across on-premises and cloud environments.
- Support data classification initiatives.
- Reduce the risk of data breaches.
- Improve compliance with privacy and industry regulations.
- Strengthen data governance and risk management.
It helps organizations maintain an accurate view of their data assets as business environments evolve.
How it works
Organizations use automated tools and policies to scan storage locations and identify different types of information.
| Stage | Purpose |
|---|---|
| Data scanning | Search storage locations, databases, cloud services, and endpoints |
| Data identification | Detect sensitive information using predefined rules or patterns |
| Data classification | Assign classification labels based on sensitivity or business value |
| Reporting | Generate an inventory of discovered data and associated risks |
| Continuous monitoring | Detect newly created or relocated sensitive data over time |
Many data discovery solutions identify information such as personally identifiable information (PII), payment card data, financial records, and healthcare information.
Data discovery vs data classification
Although the two processes work together, they serve different purposes.
| Data discovery | Data classification |
|---|---|
| Identifies where data exists | Categorizes data based on sensitivity or business value |
| Creates an inventory of organizational data | Applies labels and protection policies |
| Focuses on visibility | Focuses on protection and governance |
| Usually occurs before classification | Builds on information gathered during discovery |
Organizations typically perform data discovery before implementing classification and access control policies.
How Hexnode helps protect discovered data
Hexnode UEM helps organizations secure the endpoints that store and process sensitive information discovered during data discovery initiatives. Administrators can enforce device security policies, configure encryption on supported platforms, deploy operating system updates, manage approved applications, and monitor device compliance from a centralized console.
Hexnode UEM also supports device restrictions, remote security actions such as enterprise wipe, inventory reporting, and compliance monitoring. These capabilities help organizations reduce the risk of unauthorized access to sensitive information across managed devices.
FAQs
No. Data discovery identifies where data exists, while data classification assigns labels based on the data’s sensitivity, value, or regulatory requirements.
Data discovery tools can identify many types of information, including personally identifiable information (PII), payment card data, healthcare records, financial information, intellectual property, and confidential business documents.
