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Saudi Data Management & Personal Data Protection Standards

National Vision 2030

Last Updated on December 15, 2023

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Under the National Vision 2030, the Kingdom of Saudi Arabia is paving the way for a new era by improving government efficiency and transparency, encouraging economic diversification driven by data and technology, and taking a more significant part in the global economy built on public trust and international partnerships.

To set the necessary policies and regulations for data classification, data sharing, data privacy, freedom of information, open data, and other areas in anticipation of necessary legislation, the National Data Management Office (NDMO), the national regulator of data in the Kingdom, developed the National Data Management and Personal Data Protection Standards (the “Standards”) for national data governance for government entities.

15 Data Management and Personal Data Protection domains are covered by the Standards. Saudi’s public entities must implement the Standards. In addition to public entities, the scope of the Standards also extends to business partners handling government data. Such business partners are responsible for understanding and applying the Standards to all government data assets within their control and custody.

Furthermore, all forms and types of government data, including paper records, emails, data saved electronically, voice recordings, films, maps, pictures, scripts, handwritten documents, and other recorded data, are covered by the Standards.

Data Management and Personal Data Protection Framework

The Data Management and Personal Data Protection Framework consists of 15 domains that cover the data lifecycle from creation, storage, movement, and usage, to retirement.

1

Data Governance

To ensure consistent and proper handling of the organization's data assets in alignment with its Data Management and Personal Data Protection Strategy, Data Governance provides the authority and control over the planning and implementation of the data management practices through people, processes, and technologies.

2

Data Catalog and Metadata

Data Catalog and Metadata provide efficient access to high-quality, integrated metadata. The Data Catalog automated tool, which serves as the single point of reference for the organizations' metadata, facilitates access to metadata.

3

Data Quality

Data quality focuses on enhancing the organization's data quality and ensuring that data is suitable for use in accordance with customer needs.

4

Data Operations

The Data Operations domain aims to optimize the value of data during its lifecycle, from creation/acquisition through disposal.

5

Document and Consent Management

Regulating the collection, holding, usage, and access to documents and content kept outside relational databases.

6

Data Architecture and Modelling

Data Architecture and Modelling focuses on creating formal data structures and data flow channels to enable end-to-end data processing across and within entities.

7

Reference and Master Data Management

All crucial data can be linked to a single master file using reference and master data management, creating a single reference point for all crucial data.

8

Business Intelligence and Analytics

It focuses on analyzing an organization's data records to get insight and make decisions regarding the data discovered.

9

Data Sharing and Interoperability

It involves gathering data from multiple sources and includes integration solutions that promote smooth internal and external communication between different IT systems.

10

Data Value Realization

Involves the continuous analysis of data assets to find possible revenue-generating or cost-saving data-driven use cases.

11

Open Data

Focuses on the information held by the organization that may be made accessible to the general public to increase transparency, spur innovation, and promote economic progress.

12

Freedom of Information

It emphasizes giving Saudi citizens access to government information, outlining the method for doing so, and outlining the appeals process in case of a dispute.

13

Data Classification

Includes classifying data to use and safeguard it effectively.

14

Personal Data Protection

Focuses on the security of data subjects’ right to the secure management and confidentiality of their personal information.

15

Data Security and Protection

Focuses on the procedures, personnel, and tools created to safeguard the entity's data, including but not limited to ensuring that only authorized individuals have access to the data, preventing data spoliation, and protecting against unauthorized disclosure of the data.

The Solution

Securiti enables organizations to comply with Data Management and Personal Data Protection Standards through AI-driven PI data discovery, DSR automation, access Intelligence, documented accountability, data security, enhanced visibility into data processing activities, and AI-driven process automation.

Securiti supports enterprises in their journey toward compliance with Data Management and Personal Data Protection Standards through automation, enhanced data visibility, and identity linking.

See how our comprehensive platform helps you comply with various Data Management and Personal Data Protection Standards sections.

Saudi’s National Data Management and Personal Data Protection Standards Compliance Solution

With its state-of-the-art artificial intelligence and machine-learning-based tools, Securiti is a market leader in providing data governance and compliance solutions.

Request a demo today to learn how Securiti can aid you and your organization's compliance efforts.

Automate Gap Assessments and Risk Assessments

PDP.1.1, DSI.1.1, DAM.3.3, PDP.4.3, PDP.4.4

Utilize our collaborative, multi-regulation readiness and evaluation system to analyze the position of your business to the needs of the Data Management and Personal Data Protection Standards. Expand assessment capabilities across your vendor ecosystem to maintain compliance with Data Management and Personal Data Protection Standards.

Automatic Risk Assessment
Individual Data Subject Right Handling

Automate Individuals’ Data Rights Request Handling

PDP.4.2

Inform individuals of their data privacy rights and make verified data access requests easier to start. Automate the creation and delivery of reports on secure data access.

Data Asset Discovery (Dark Data System Discovery)

DC.3.1

Discover all non-native and native data systems operating in Multicloud. Discover and remediate misconfiguration and over privileges.

Data Asset Discovery
Universal Consent Management

Monitor and Track Consent

PDP.4.1

Monitor consent to ensure data is processed legally. Track consent revocation to prevent the processing or transfer of data without consent. Demonstrate consent compliance to regulators and data subjects.

Automate Data Breach Response Mechanism

PDP.3.1, PDP.3.2

Automate data breach response mechanism, including breach notifications to concerned stakeholders regarding data breach incidents by leveraging a knowledge database on security incident diagnosis and response.

breach response notification
Privacy Policy And Notice Management Dashboard

Privacy Policy and Notice Management

PDP.4.1

Automatically update and refresh your privacy policies and notices. Build and publish a privacy notice with pre-built templates.

Map Data Flows and Generate RoPA Reports

PDP.5.1, DSI.1.1, DSI.1.2, DSI.5.1, DSI.6.1, DSI.7.1, DSI.7.2, DSI. 8.1

Trace data flow across your digital estate, catalog data collection and transfer points, and document all business process flows internally and to service providers or third parties. Maintain an inventory of processing components and generate processing reports.

Automatic Data Flow Mapping
Sensitive Data Discovery

Sensitive Data Discovery (Sensitive Data Intelligence)

DC.3.1, MCM.5, OD.5

Establish Sensitive Data Intelligence and enable People-Data-Graph across structured/unstructured systems, fulfilling all key obligations around data concerning security, privacy, and governance.

Data Classification and Labeling

DC.1, DC.2, DC.3, DC.5,

Automatically apply labels and metadata to documents/files and structured datasets for security, privacy, and governance use cases.

Data Classification
Data Risk Assessment Automation

Data Security Posture Management

DC.2, DS

Discover Data Security posture issues and remediate them automatically across critical systems.

Data Access Intelligence

DO.3.2

Visibility of an identity/role’s access to sensitive data. Utilize a data-driven methodology to identify and prioritize file access risk to detect and fix high-risk data access concerns.

Data Access Intelligence
Data access And Security Controls

Data Access Controls

DO.3.2

Policy-based controls on an identity/role’s access to sensitive data. Authorize users, employees, and third parties to access company data in a way that complies with compliance, security, and privacy standards.

Data Risk Scoring

DG.5.3, PDP.4.3

Monitor global data risk over time with a clear breakdown of various contributors to risk and uncover high-risk activity in your environment.

Data In Motion

Data in Motion

MCM.1.3, DAM.3.1, DAM.4.2, DSI. 5.1, DSI.8.1

Discover the flow of sensitive data across your message bus (Kafka) and control the sprawl of sensitive data in real-time.

Data Catalogs

MCM.1, MCM.5, MCM.6

Collect and enrich metadata enabling users to discover trusted data promptly.

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