Saudi PDPL Mapping: A Step-by-Step Compliance Roadmap

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In response to the growing global emphasis on data privacy, Saudi Arabia has introduced the Personal Data Protection Law (PDPL), setting a new standard for protecting and managing personal data within the Kingdom.

Understanding and aligning with PDPL requirements is essential for organizations operating in Saudi Arabia to achieve compliance and build trust with customers and stakeholders.

This infographic provides a PDPL mapping overview of relevant articles that your organization and compliance strategy. It breaks down the law’s key provisions and provides a structured approach to help organizations effectively map and implement compliance requirements.

The Saudi PDPL (Personal Data Protection Law) is a regulatory framework governing the collection, processing, and protection of personal data in Saudi Arabia to ensure privacy and data security.

Saudi PDPL Mapping is a structured approach to align an organization’s data practices with Saudi Arabia’s PDPL requirements for compliance and data privacy.

The EU GDPR applies to organizations in Saudi Arabia if they process the data of EU residents.

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Secure Data+AI anywhere

Data Security Posture Management
Secure sensitive data everywhere from hybrid multicloud to SaaS

View

AI Security & Governance
Establish controls for safe adoption of AI technologies including GenAI

View

Security for AI Copilots in SaaS
Unblock the biggest impediments for Safe Adoption of AI Copilots like Microsoft 365 Copilot

View

Data Access Intelligence & Governance
Monitor user access to data and enforce least privilege controls

View

Data Discovery & Classification
Discover shadow and cloud-native assets and accurately classify data

View

Compliance Management
Assess & improve compliance with security best practices frameworks

View

Breach Impact Analysis
Analyze breach impact & automate notifications to affected individuals

View

Data Flow Governance
Understand data lineage and secure real-time streaming data

View
Build safe enterprise AI systems

Safe Enterprise AI Copilots
Implement rule-aware AI copilots across your organization’s data anywhere

View

Data Vectorization and Ingestion
Extract info from complex Unstructured Files, convert it into AI-ready formats, and sync to vector databases

View

Data Curation and Sanitization for AI
Transform raw, unstructured files into data ready for model training and tuning

View

Context-aware LLM Firewalls
Protect AI interactions with intelligent retrieval, response, and prompt firewalls

View

Unstructured Data Governance
Manage and govern unstructured data to enable its safe use with generative AI

View
Govern data for safe innovation

Data Discovery & Classification
Discover shadow and cloud-native assets and accurately classify data

View

Unstructured Data Governance
Manage unstructured data to enable safe use with generative AI

View

Data Access Governance
Monitor sensitive data access and prevent unauthorized use

View

AI Governance
Establish controls for safe adoption of AI technologies including GenAI

View

Data Catalog
Enable users to easily find, understand, trust and access the data they need

View

Data Lineage
Automatically track changes and transformations of data throughout its lifecycle

View

Data Quality
Conduct data quality checks and validation across various data types

View
Automate data privacy operations

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Manage your entire data mapping lifecycle and automate RoPA reports

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AI Governance
Comply with emerging AI regulations and ensure safe use of AI

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Automate entire DSR lifecycle from consumer request intake to secure report delivery

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Automate your entire assessment lifecycle and demonstrate compliance

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Consent Management
Manage your first-party and third-party consent lifecycle from scanning to reporting

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Breach Management
Automate your incident management and optimize notifications to users & regulatory bodies

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Privacy Center
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Use automation to audit and improve compliance with global regulations and industry standards

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