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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.
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.
Request a demo today to learn how Securiti can aid you and your organization's compliance efforts.
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.
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.
Discover all non-native and native data systems operating in Multicloud. Discover and remediate misconfiguration and over privileges.
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.
PDP.3.1, PDP.3.2, DO.4.1, DO.4.2
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.
Automatically update and refresh your privacy policies and notices. Build and publish a privacy notice with pre-built templates.
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.
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.
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.
Discover Data Security posture issues and remediate them automatically across critical systems.
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.
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.
Monitor global data risk over time with a clear breakdown of various contributors to risk and uncover high-risk activity in your environment.
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.
MCM.1, MCM.5, MCM.6
Collect and enrich metadata enabling users to discover trusted data promptly.
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.
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.
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.
Data quality focuses on enhancing the organization's data quality and ensuring that data is suitable for use in accordance with customer needs.
The Data Operations domain aims to optimize the value of data during its lifecycle, from creation/acquisition through disposal.
Regulating the collection, holding, usage, and access to documents and content kept outside relational databases.
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.
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.
It focuses on analyzing an organization's data records to get insight and make decisions regarding the data discovered.
It involves gathering data from multiple sources and includes integration solutions that promote smooth internal and external communication between different IT systems.
Involves the continuous analysis of data assets to find possible revenue-generating or cost-saving data-driven use cases.
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.
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.
Includes classifying data to use and safeguard it effectively.
Focuses on the security of data subjects’ right to the secure management and confidentiality of their personal information.
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.
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