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A pharmaceutical company uses a cloud provider to host thousands of independent resources in object storage. The company needs a practical and effective means of discovering data, monitoring changes, and identifying suspicious activity. Which of the following would best meet these requirements?
Correct Answer: A
A machine-learning-based data security service would best meet the pharmaceutical company's requirements to discover data, monitor changes, and identify suspicious activity across thousands of independent resources in cloud object storage. Machine learning can analyze vast amounts of data, detect patterns, and alert administrators to anomalies or suspicious activities without manual intervention. Traditional file integrity monitoring or data classification might not scale well or adapt dynamically to the complexity and size of the company's environment. CASP+ highlights the use of advanced technologies like machine learning for cloud security and monitoring. Reference: CASP+ CAS-004 Exam Objectives: Domain 2.0 - Enterprise Security Operations (Machine Learning for Security) CompTIA CASP+ Study Guide: Cloud Security Monitoring with Machine Learning