Microsoft Cybersecurity Architect (SC-100)Evaluate Governance Risk Compliance (GRC) technical strategies and security operations strategiesMedium
A multinational corporation is expanding its operations into new regions, each with unique data privacy laws (e.g., GDPR, CCPA, LGPD). The cybersecurity architect needs to design a technical strategy that ensures compliance with these diverse regulations for data processing and storage without creating siloed IT environments. Which technical strategy is most effective for achieving this goal?
- AUtilizing data classification, data loss prevention (DLP) solutions, and granular access controls tailored to regional requirements within a unified environment.
- BAdopting a 'least common denominator' approach, applying the strictest regulation's controls globally.
- CRelying on legal counsel to interpret regulations, without implementing specific technical controls for each region.
- DImplementing a separate data center and application stack for each region to ensure complete isolation.
Show answer & explanationAnswer & explanation
Correct answer: A. Utilizing data classification, data loss prevention (DLP) solutions, and granular access controls tailored to regional requirements within a unified environment.
Data classification, DLP, and granular access controls allow for dynamic application of security policies based on data sensitivity and regional regulations within a single, unified environment, avoiding silos while ensuring compliance. This is a flexible and scalable approach for multinational compliance.
Why the other options are wrong
- B. Applying the strictest regulation globally can lead to over-restriction, impact user experience, and incur unnecessary costs in regions with less stringent requirements.
- C. Legal interpretation is essential, but without corresponding technical controls, compliance cannot be effectively implemented or demonstrated, leaving the organization vulnerable.
- D. Separate data centers and application stacks are costly, complex to manage, and hinder operational efficiency, creating silos that the question seeks to avoid.
Data Classification
The process of categorizing data based on its sensitivity, value, and regulatory requirements to apply appropriate security controls.
- Enables targeted application of security policies (e.g., encryption, access controls).
- Crucial for compliance with data privacy regulations.
- Often implemented with automated tools and user input.
Memory trick: Classify Data, Control Access, Prevent Loss for Global Rules