Learn how incorporating asset and identity information into correlation searches enhances cybersecurity by improving detection context and prioritizing incidents based on asset value. Discover key benefits for Splunk Certified Cybersecurity Defense Engineers.
Table of Contents
Question
What are the benefits of incorporating asset and identity information into correlation searches? (Choose two)
A. Enhancing the context of detections
B. Reducing the volume of raw data indexed
C. Prioritizing incidents based on asset value
D. Accelerating data ingestion rates
Answer
A. Enhancing the context of detections
C. Prioritizing incidents based on asset value
Explanation
Incorporating asset and identity information into correlation searches within Splunk Enterprise Security provides significant benefits, particularly in enhancing the effectiveness of security operations. Here’s how the correct options apply:
A. Enhancing the context of detections
- By integrating asset and identity data, correlation searches become more context-aware, allowing analysts to better understand the events they are investigating.
- For example, knowing the location, ownership, or classification of an asset involved in a security event (e.g., whether it is a critical server or a low-priority workstation) helps analysts make faster and more informed decisions about potential threats.
- This contextualization reduces false positives and ensures that alerts are meaningful, improving overall detection accuracy.
C. Prioritizing incidents based on asset value
- Asset and identity data enable organizations to assign priority levels to incidents based on the importance of the affected assets.
- For instance, a breach targeting a high-value database containing sensitive customer data would be prioritized over one involving a non-critical system.
- This prioritization ensures that security teams focus their resources on addressing the most impactful threats first, improving response efficiency and reducing risk exposure.
Why Other Options Are Incorrect
B. Reducing the volume of raw data indexed: While asset and identity frameworks optimize data organization, they do not directly reduce the volume of raw data indexed by Splunk. Data ingestion remains dependent on other configurations like filtering or retention policies.
D. Accelerating data ingestion rates: Asset and identity information enriches data but does not inherently speed up the ingestion process. Data ingestion rates are influenced by factors such as hardware performance, indexing configurations, and network bandwidth.
In summary, incorporating asset and identity information into correlation searches enhances detection accuracy through enriched context and enables incident prioritization based on asset criticality—key capabilities for effective cybersecurity defense.
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