350-201 Question 254
Select 3A cybersecurity team is using a Cisco SOAR platform to manage their incident response process. They want to reduce response times by leveraging automation, orchestration, and machine learning. Which of the following actions should they implement to optimize their workflow?
- A
Automate repetitive tasks such as gathering threat intelligence and applying IP address blocks.
- B
Use machine learning models to analyze historical incident data and predict future threats.
- C
Manually review all security alerts to ensure no false positives are missed.
- D
Orchestrate workflows to automatically trigger containment actions across multiple security tools.
- E
Rely solely on machine learning models for incident classification without human intervention.
Show answer and explanation
Correct answers: A, B, D
Explanation
To optimize a SOAR platform, organizations should focus on automating repetitive tasks, using machine learning for predictive analysis, and orchestrating workflows to integrate security tools. These enhancements reduce response times and improve operational efficiency while allowing teams to focus on high-priority incidents. However, a balance between automation and human oversight is critical to ensure accuracy and contextual understanding in incident response.
- A. Correct.
Automating repetitive tasks like gathering threat intelligence and applying IP address blocks helps in reducing manual effort, speeding up response times, and minimizing errors.
- B. Correct.
Machine learning models can analyze historical incident data to identify patterns and predict future threats, enhancing the organization's proactive cybersecurity posture.
- C. Incorrect.
Manually reviewing all alerts is time-consuming and impractical for large-scale environments. This approach does not align with the goal of leveraging automation within a SOAR platform.
- D. Correct.
Orchestrating workflows allows the integration and coordination of multiple security tools to perform containment actions, improving efficiency and response accuracy.
- E. Incorrect.
Relying solely on machine learning without human intervention can lead to misclassifications and a lack of contextual understanding, which makes this approach unreliable for effective incident management.