Is this a consulting service?

No, this is a free, interactive software tool that calculates your potential liability under the DPDP Act 2023 in 30 seconds. It provides an instant risk score and automated action plan.

What are common DPDP violations in Ticket Escalation Processor Audit?

Common violations include: Sharing full customer contact details (email, phone, address) with external vendors for every escalation, even when only an issue ID is required., Lack of Data Processing Agreements (DPAs) with third-party vendors (e.g., bug tracking tools like Jira, service desk CRMs) handling escalated ticket data., Internal engineering teams accessing more **personal data** than strictly necessary to resolve an escalated issue, violating data minimization principles..

The DPDP Audit Tool

Compliance for Ticket Escalation Processor Audit

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Ticket Escalation Processor Audit
Liability Check

When your support team escalates tickets, personal data can flow unchecked to vendors, engineering, or third-party tools. Without clear DPDP-compliant Data Processing Agreements and strict data minimization, you're exposing your business to massive penalties for unauthorized data sharing.

Why Ticket Escalation Processor Audit is at Risk

Every time a customer support ticket containing **personal identifiable information (PII), contact details, or even sensitive issue descriptions** is escalated, that data is processed by another entity – be it your internal engineering team in Bengaluru's Manyata Tech Park or an external vendor like Zendesk, Freshdesk, or a specialised CRM. DPDP mandates that **personal data** should only be processed for the purpose for which it was collected, and shared only with entities bound by strict data processing agreements. Without proper oversight, this uncontrolled data flow can lead to **data breaches, non-compliance with purpose limitation**, and expose your Data Principals to risk, making your company liable for hefty fines.

Common Violations

1.Sharing full customer contact details (email, phone, address) with external vendors for every escalation, even when only an issue ID is required.
2.Lack of Data Processing Agreements (DPAs) with third-party vendors (e.g., bug tracking tools like Jira, service desk CRMs) handling escalated ticket data.
3.Internal engineering teams accessing more **personal data** than strictly necessary to resolve an escalated issue, violating data minimization principles.

The Immediate Fix

Conduct an urgent audit of all data fields shared during ticket escalations. Map out every data flow to third-party tools and vendors like Freshdesk or Jira. Immediately implement **data minimization** by sharing only the absolute necessary personal data required to resolve the issue.