Custom Tagging

Custom Tagging

Custom Tagging in GoTrust is an advanced data labeling framework that allows enterprises to classify and manage information with business-specific, regulatory-aware context. Unlike static classification (e.g., Confidential/Public), Custom Tagging supports dynamic, multi-dimensional tags that evolve with business and compliance requirements.

Custom Tagging in GoTrust is an advanced data labeling framework that allows enterprises to classify and manage information with business-specific, regulatory-aware context. Unlike static classification (e.g., Confidential/Public), Custom Tagging supports dynamic, multi-dimensional tags that evolve with business and compliance requirements.

Why Custom Tagging is Critical

Why Custom Tagging is Critical

1. Regulations like the DPDPA (India) and GDPR (EU) explicitly require organizations to differentiate general, sensitive, and critical data.

1. Regulations like the DPDPA (India) and GDPR (EU) explicitly require organizations to differentiate general, sensitive, and critical data.

2. In practice, this means organizations must understand, categorize, and govern data based on use case, sensitivity, and processing purpose—something traditional classification fails to achieve.

2. In practice, this means organizations must understand, categorize, and govern data based on use case, sensitivity, and processing purpose—something traditional classification fails to achieve.

3. By enabling Custom Tagging, GoTrust makes regulatory compliance operational and measurable.

3. By enabling Custom Tagging, GoTrust makes regulatory compliance operational and measurable.

Core Capabilities

Core Capabilities

Flexible Tag Creation

A. Define tags such as “Customer PII,” “Financial Records,” “Health Data,” “Contractual Data”

B. Create industry-specific tags (e.g., Claims Data in insurance, KYC Data in banking).

Regulatory Mapping

A. Tags are automatically linked to laws like:

1. DPDPA Sec. 7–9 (Notice, Consent, Processing of Sensitive Data).

2. GDPR Art. 9 (Special Categories of Data).

3. SEBI CSCRF 2023 – Data Classification & Governance Controls.

Trigger-Based Automation

A. Tagged data triggers specific workflows:

1. Consent validation if data involves minors.

2. DPIA initiation if high-risk processing is detected.

3. Escalation to Risk Register for high-sensitivity tags.

Cross-System Consistency

A. Tags propagate across connectors (Oracle, PostgreSQL, O365, NAS, SFTP).

B. Ensures compliance follows the data, not just the system.

Legal Relevance & Examples

1. DPDPA: Requires controllers to treat sensitive personal data differently from general data.

1. DPDPA: Requires controllers to treat sensitive personal data differently from general data.

2. GDPR: Imposes stricter rules on health, biometrics, and ethnicity-related data.

2. GDPR: Imposes stricter rules on health, biometrics, and ethnicity-related data.

3. RBI Cybersecurity Framework: Mandates banks to classify critical information assets and apply security controls accordingly.

3. RBI Cybersecurity Framework: Mandates banks to classify critical information assets and apply security controls accordingly.

Business Impact

GoTrust Custom Tagging ensures that data is not only categorized but made actionable. It translates legal requirements into day-to-day operational policies, giving enterprises a defensible compliance posture.

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© 2024-25 GoTrust | Proudly made in India

info@gotrust.tech

India

41, Block A, Industrial Area, Sector 62, Noida, Uttar Pradesh 201301

UAE

DIFC Innovation Hub, Gate Avenue, Zone D, Co-working Space Level 1 Al Mustaqbal St, Dubai

Netherlands

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© 2024-25 GoTrust | Proudly made in India

info@gotrust.tech

India

41, Block A, Industrial Area, Sector 62, Noida, Uttar Pradesh 201301

UAE

DIFC Innovation Hub, Gate Avenue, Zone D, Co-working Space Level 1 Al Mustaqbal St, Dubai

Netherlands

Cuserpark Amsterdam, De Cuserstraat 91, 1081CN, Amsterdam, Netherlands