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?
A machine-learning-based data security service is well-suited for the needs of discovering data, monitoring changes, and identifying suspicious activity in a cloud environment. Machine learning algorithms can analyze vast amounts of data to detect patterns and anomalies that could indicate security threats. This type of service can continuously learn and adapt to new threats, making it effective for observing trends, detecting unusual behavior, and protecting the data hosted by the pharmaceutical company.
I feel this would be best options. Not sure how CASB would tick the box of data discovery and suspicious activity in storage object. And other answers are even more bogus.
Forget it going with D
A cloud access security broker, often abbreviated (CASB), is a security policy enforcement point positioned between enterprise users and cloud service providers. CASBs can combine multiple different security policies, from authentication and credential mapping to encryption, malware detection, and more, offering flexible enterprise solutions that help ensure cloud app security across authorized and unauthorized applications, and managed and unmanaged devices. Key benefits of CASBs CASBs offer a range of security benefits that allow enterprises to mitigate risk, enforce policies across various applications and devices, and maintain regulatory compliance. 1. Shadow IT assessment and management 2.Granular cloud usage control 3. Data loss prevention (DLP) 4. Risk visibility 5. Threat prevention