You are the security architect for a multinational corporation that handles highly sensitive intellectual property (IP) and personally identifiable information (PII) for clients in multiple jurisdictions, including GDPR and CCPA regions. The company recently experienced a data breach where an attacker exfiltrated 50 GB of data from a file server by exploiting a vulnerability in the backup software. The backup software had been configured with default credentials and was accessible from the internet. The security team has implemented compensating controls, but management wants to prevent such incidents in the future. You have been asked to recommend a long-term strategy to protect sensitive data assets. The budget is limited, and the solution must minimize user friction. Current environment: On-premises Active Directory with Windows file servers, some data in AWS S3, and a mix of laptops and mobile devices. The organization uses Microsoft 365 for email and collaboration. Which of the following is the BEST course of action?
This solution directly tackles data protection by identifying sensitive information through classification and applying automated controls via Data Loss Prevention (DLP). Integrating these systems ensures continuous monitoring and enforcement of policies across endpoints, network traffic, and cloud services. This proactive, data-centric approach significantly reduces the risk of unauthorized data exfiltration, regardless of the vector or insider threat, making it the most comprehensive strategy for a multinational corporation.
Why this answer
Data classification and labeling, integrated with endpoint and network DLP, directly addresses the root cause: the inability to distinguish sensitive data from non-sensitive data. By automatically classifying and labeling IP and PII, the organization can enforce policy-based protections (e.g., blocking exfiltration, applying encryption) without relying solely on perimeter controls. This minimizes user friction by automating detection and response, and it scales across on-premises, cloud (AWS S3), and Microsoft 365 environments, aligning with GDPR and CCPA requirements for data protection.
Exam trap
The trap here is that candidates often choose MFA or encryption as a silver bullet, but the CISSP exam emphasizes that data classification is the foundational control for protecting sensitive assets, especially when the threat involves data exfiltration via a compromised application, not just unauthorized access or theft of media.
How to eliminate wrong answers
Option B is wrong because MFA for administrative accounts and backup interfaces is a compensating control that reduces the risk of credential theft, but it does not prevent an attacker who exploits a software vulnerability (as in the breach) from exfiltrating data; the backup software was accessible from the internet with default credentials, but MFA would not have stopped the vulnerability exploitation if the attacker bypassed authentication or used a different vector. Option C is wrong because encrypting all data at rest with AES-256 protects data if storage media is stolen, but it does not prevent exfiltration via a live file server or backup software; the attacker exfiltrated data while the server was online and decrypted, so encryption at rest is irrelevant to the attack vector. Option D is wrong because network segmentation and firewall rules reduce the attack surface but do not address the core issue of sensitive data being accessible and unlabeled; the attacker exploited a vulnerability in backup software, and segmentation alone cannot prevent exfiltration if the attacker already has access to the backup network or if the vulnerability allows lateral movement.