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Simplify PDPA Compliance Through Metadata-Driven Data Management

Archon Data Store handles PDPA compliance, so you don’t have to. Automatically finding data, secure, and manage personal data. From smart classification to auto-retention, manual compliance isn’t everything.

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Overview

The Personal Data Protection Act sets out strict rules for how organizations must handle personal data. Meeting these requirements can be complex, but we make it a much smoother process by providing a complete set of rules and functionalities created specifically for PDPA Compliance.

Archon Suite helps organizations comply with the Personal Data Protection Act (PDPA) through intelligent archiving, and metadata-driven governance. It automatically detects and classifies personal data, applies the right access controls, and enforces retention policies to ensure secure and compliant handling.

Access is restricted using Role-Based Access Control (RBAC) and least-privilege principles, minimizing exposure risks. In addition, Archon Suite enables secure data disposal, applies data tagging with retention rules and supporting lifecycle obligations without manual labor.

With fast responses to data requests (DSARs), immutable audit logs, and centralized control across all data types, Archon Suite simplifies PDPA compliance, reducing risk, ensuring transparency, and building trust.

How Archon Suite Helps in PDPA compliance?

Role-Based Access reduce exposure risk

Unrestricted access to personal data increases the risk of breaches and non-compliance. Archon Suite applies strict, role-based access controls (RBAC) and policy-driven governance through metadata. Sensitive data is provided only to permitted users based on their role, purpose, and clearance, reducing exposure and ensuring compliance with PDPA requirements.

Benefits

  • Enforces Least Privilege access to reduce Data Exposure
  • Automates Access control to all data types
  • Centralized access governance across live and archive data
  • Supports enterprise-scale policy enforcement with metadata.
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Automated Data Retention for Compliance

Retaining data for longer than required raises legal and compliance risks. Archon Suite uses predetermined retention policies to automatically archive or destroy data once it is no longer required. This helps organizations remain compliant with PDPA, saves storage costs, and prevents exposure to outdated or unnecessary personal data.

Benefits

  • Automates data Lifecycle Management with Metadata-Driven Retention Policies.
  • Enforces Auto-Expiry for on-time archival or deletion.
  • Supports versioned retention policies for regulatory compliance.
  • Decrease manual oversight with automated disposal enforcement.

Sensitive Data Protection

Not everything is equally risk – personal and sensitive information requires additional care. Archon Suite automatically discovers, categorizes, and labels sensitive data, so protections are properly applied. This guarantees compliance, minimizes human error, and always has crucial data safeguards.

Benefits

  • Detects Personal and sensitive data with metadata and pattern detection.
  • Applies data classification Labels for risk-based management.
  • Trigger policy enforcement based on data sensitivity.
  • Enables Real-time tagging for live data Protection.
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Compliant Responses to Data Request

PDPA entitles an individual to obtain a copy of their personal data. Archon Suite simplifies this process by ensuring it is simple to find and manage user data. This ensures that organizations can act quickly and accurately to responds to Data Subjects Access Requests (DSARs).

Benefits

  • Search and retrieval of Personal data quickly across systems.
  • Data Portability through ability to export in structured, machine-readable formats.
  • Real-time updates and corrections for user information.
  • Maintains audit trails of all DSAR activity for Accountability.
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Product Security Whitepaper: Archon Data Suite

Check out our definitive guide to security & compliance within Archon Data Suite, and learn more about the product architecture, design considerations, our methodology, and our approach to data processing.

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