Free Cloud Security Alliance CCSK Practice Exam with Questions & Answers | Set: 3

Cloud computing is adopted mainly for its cost-effectiveness and the ability to accelerate time-to-market, enhancing business agility. Reference: [Security Guidance v5, Domain 1 - Cloud Benefits]

AI can enhance anomaly detection in cybersecurity by analyzing large volumes of data and identifying patterns that deviate from normal behavior. By using machine learning algorithms, AI can improve the accuracy of anomaly detection, reducing false positive alerts. This helps security teams focus on genuine threats while minimizing distractions from irrelevant alerts.

Assisting analysts is a valid benefit of AI, but reducing false positives directly improves anomaly detection capabilities. Threat intelligence refers to gathering and analyzing information about potential threats but isn't directly focused on reducing false positives in the same way as anomaly detection. Automated responses can be part of AI's role in cybersecurity, but reducing false positives is more directly related to improving anomaly detection.

Including key metrics and periodic reassessment in cybersecurity governance is essential for ensuring the effective and continuous improvement of security measures. Metrics provide a way to assess the current state of security, identify gaps, and measure progress over time. Periodic reassessment allows organizations to adapt to emerging threats and vulnerabilities, ensuring that security controls remain relevant and effective as the threat landscape evolves.

While meeting legal requirements is important, the primary reason for metrics and reassessment is continuous improvement, not just legal compliance. Documenting cybersecurity incidents is important, but the main focus of key metrics and reassessment is improving and adapting security strategies. Zero security incidents is not feasible; the goal is to reduce incidents and manage risk, not to eliminate all incidents entirely.

Cloud telemetry provides detailed insights and visibility into security events and system behaviors in cloud environments, which helps detect and respond to threats. Reference: [Security Guidance v5, Domain 6 - Security Monitoring]

SLAs play a key role in cloud incident management as they define response expectations and support arrangements between CSPs and CSCs. Reference: [CCSK Study Guide, Domain 11 - Incident Response]