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Answer: Integrate behavioral analytics and machine learning-based security monitoring tools that analyze access patterns and system logs for indicators of compromise, along with an incident response plan tailored to data breaches.
Option B is the most effective approach for detecting and mitigating Advanced Persistent Threats (APTs) in data stores. APTs are sophisticated and stealthy attacks that often evade traditional security measures. Behavioral analytics and machine learning-based tools can identify abnormal behavior indicative of an APT by analyzing access patterns and system logs. Coupled with a tailored incident response plan, these tools enable organizations to quickly respond to and mitigate APT attacks. While other options like perimeter defenses, NIDS, and DAM solutions are important, they lack the depth to detect the nuanced and persistent nature of APTs without the advanced detection capabilities provided by behavioral analytics and machine learning.
Author: LeetQuiz Editorial Team
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To effectively identify and mitigate Advanced Persistent Threats (APTs) in critical data stores, which combination of security technologies and practices is most effective?
A
Focus on strong perimeter defenses, such as firewalls and antivirus software, to prevent APTs from gaining initial access to the data environment.
B
Integrate behavioral analytics and machine learning-based security monitoring tools that analyze access patterns and system logs for indicators of compromise, along with an incident response plan tailored to data breaches.
C
Deploy network intrusion detection systems (NIDS) at the perimeter of the data environment, complemented by regular penetration testing to identify vulnerabilities.
D
Utilize database activity monitoring (DAM) solutions that specifically look for unusual data access or manipulation patterns, coupled with endpoint detection and response (EDR) systems for real-time threat mitigation.
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