Regulatory Landscape
- PDPL (Saudi Arabia): Mandates organizations to protect personal data, ensure accuracy, and obtain clear consent before processing.
- GDPR: Emphasizes data subject rights, requiring explicit consent, data portability, and breach notifications.
- CCPA: Focuses on consumer rights, including the right to opt-out of data sales and access personal data.
- HIPAA: Protects sensitive health information through strict security and privacy rules.
- ISO/IEC 27001: Encourages the implementation of comprehensive information security management systems.
- PIPEDA (Canada): Regulates how private organizations collect, use, and disclose personal information during commercial activities.
- NIST Privacy Framework: Provides a structured approach to building privacy programs that align with regulatory requirements
- Aviation-Specific Compliance: Regulations such as the EU PNR Directive require airlines to secure and govern passenger data
- FERPA: US Federal Law to protect the privacy of student education records.
Compliance Features in BDaaS
- Data Encryption protects sensitive information by securing it both when stored (at rest) and during transfer (in transit), making it inaccessible to unauthorized users.
- Access Logs maintain detailed records of all data access, modifications, and usage, which are invaluable for tracking user activity and conducting audits.
- Automated Compliance Checks monitor the platform’s operations continuously, ensuring adherence to regulations such as PDPL, GDPR, HIPAA, and CCPA, and provide alerts for potential violations.
- Breach Response Tools allow for rapid detection, containment, and reporting in the event of a security breach, helping mitigate risks and ensuring timely communication with stakeholders.
- RBAC restricts access to sensitive data and system operations based on user roles, reducing the risk of unauthorized access and insider threats.
- Data Masking and Anonymization protect personal and sensitive information during data processing, enabling secure analytics while maintaining privacy.
- Compliance Certifications and Audits demonstrate adherence to recognized standards like ISO 27001, SOC 2, and PCI DSS, with regular audits ensuring continued compliance.
- Retention Policies enforce the secure storage and timely deletion of data after the legally required retention period, minimizing risks and reducing storage costs.
- Real-time Monitoring and Alerts provide continuous oversight of system performance and data usage, with immediate notifications of any potential compliance risks or violations.
- Data Classification organizes information based on sensitivity and applicable regulatory requirements, ensuring that the necessary safeguards are applied appropriately to different types of data. Together, these features form a comprehensive framework for compliance, enabling organizations to manage and analyze large-scale data securely and within regulatory boundaries.
Recommended Resources
- Big Data vs. Traditional Data, Data Warehousing, AI, and Beyond
- Big Data Transformation Across Industries
- Big Data Security, Privacy, and Protection, & Addressing the Challenges of Big Data
- Designing Big Data Infrastructure and Modeling
- Leveraging Big Data through NoSQL Databases
- BDaaS (Big Data As-a-Service) – Data Governance Principles
- Data Strategy vs. Data Platform Strategy
- ABAC – Attribute-Based Access Control
- Consequences of Personal Data Breaches
- KSA PDPL (Personal Data Protection Law) – Initial Framework
- KSA PDPL – Consent Not Mandatory
- KSA PDPL Article 4, 5, 6, 7, 8, 9, 10, 11, & 12
- KSA PDPL Article 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, & 31
- KSA NDMO – Data Catalog and Metadata
- KSA NDMO – Personal Data Protection – Initial Assessment
- KSA NDMO – DG Artifacts Control – Data Management Issue Tracking Register
- KSA NDMO – Personal Data Protection – PDP Plan, & PDP Training, Data Breach Notification
- KSA NDMO – Classification Process, Data Breach Management, & Data Subject Rights
- KSA NDMO – Privacy Notice and Consent Management
- Enterprise Architecture Governance & TOGAF – Components
- Enterprise Architecture & Architecture Framework
- TOGAF – ADM (Architecture Development Method) vs. Enterprise Continuum
- TOGAF – Architecture Content Framework
- TOGAF – ADM Features & Phases
- Data Security Standards
- Data Steward – Stewardship Activities
- Data Modeling – Metrics and Checklist
- How to Measure the Value of Data
- What is Content and Content Management?
