Data Classification and Tagging (DCT) | Ardent Privacy



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What is Data Classification and Tagging?

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  • Data Classification is the process of identifying and categorizing data based on its content, sensitivity, and value to the organization.

  • Tagging refers to attaching metadata or labels to this data, helping systems and users apply appropriate controls and governance policies.

Together, DCT ensures data is handled appropriately throughout its lifecycle, from creation and storage to sharing and disposal.

Why Data Classification and Tagging Matters

Uncover hidden personal and sensitive data across structured and unstructured sources.

Apply appropriate controls based on data sensitivity and risk levels.

Align with regulatory mandates like GDPR, MODPA, DPDPA, HIPAA, and CCPA.

Enable downstream workflows like retention, access control, encryption, and DSAR processing.

Eliminate redundant, obsolete, and trivial (ROT) data for better storage efficiency and reduced exposure.

Why Data Classification and Tagging Matters

How TurtleShield Helps with DCT?

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Ardent Privacy’s TurtleShield platform automates Data Classification and Tagging with AI-driven accuracy and scale:

TurtleShield uses machine learning and NLP to automatically detect personal data, sensitive attributes, and context-specific risk indicators in both structured and unstructured content.

Applies automated, actionable tags (like “PII”, “Sensitive”, “Retention Required”, “MODPA Consent-Based”) to enrich data and drive enforcement policies downstream.

Tags and classifications feed directly into automated privacy workflows such as DSARs and retention enforcement, reducing manual burden.

Generate real-time dashboards and exportable reports that show classification status, risk posture, and compliance readiness.

Supports scanning across cloud storage, SaaS apps, collaboration tools, and enterprise systems, all from a central platform.

Who Needs DCT?

DCT is essential for:

To identify and protect PII, meet DSAR timelines, and manage data subject rights.

To prevent sensitive data exposure and implement risk-based data protection.

To demonstrate due diligence and support audit trails.

To manage ROT data, apply retention policies, and enforce access control.

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Why TurtleShield for DCT?

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Structured, semi-structured, and unstructured data

Hybrid, or on-prem options

AI automation reduces human involvement and error

Built to scale with your enterprise and compliance needs

Use Case Examples for Data Classification and Tagging (DCT)

Automatically discover and classify data subject to laws like GDPR, DPDPA, MODPA, HIPAA, and CCPA. Apply appropriate labels (e.g., “PII , EU” or “Sensitive Health Data”) to streamline audits, breach notifications, and consent tracking.

Classify and tag sensitive data, such as financial records, employee data, and proprietary documents, across cloud drives and endpoints. Integrate tags with DLP or encryption tools to prevent unauthorized access or exfiltration.

Enable automated workflows for consent management, DSAR responses, and data minimization by tagging relevant personal data types. Improve efficiency and reduce manual overhead for privacy teams.

Tag data with business value and retention categories to support defensible deletion, reduce ROT (Redundant, Obsolete, Trivial) data, and optimize storage use. Enable auto-archiving or purging based on tag-based policies.

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Conclusion

Ardent Privacy’s TurtleShield empowers your organization to take control of your data landscape with automated, intelligent, and scalable DCT capabilities. By accurately classifying and tagging sensitive and business-critical information across your environment, you not only reduce risk but also unlock the ability to act on your data confidently and compliantly.

Whether you're looking to streamline compliance, enhance security, or enforce stronger data governance, TurtleShield provides the foundation to do it right, continuously and automatically.

Start your journey toward better data control today.

Start meaningful data protection journey with us today!

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