What is the name of the threat-hunting technique that involves identifying data points that are least like the other points in a dataset?
Answer(s): A
Anomaly detection is the process of identifying outliers - data points that deviate significantly from the norm - in a dataset. In threat hunting, it helps spot unusual activity that may indicate malicious behavior.
Which Security Domain in Enterprise Security contains the dashboards that include vulnerability information generated by vulnerability scanners, next-generation firewalls, and other security devices?
Answer(s): B
In Splunk Enterprise Security, the Network Security Domain houses dashboards that surface vulnerability information derived from network-level devices and scanners (including vulnerability scanners, next-generation firewalls, IDS/IPS, and other network security appliances).
While investigating a finding in Splunk, an analyst manually searches for threat intelligence matches and adds them to a list if they come back as malicious. Then, they send a request to contain the compromised host.What would be the best solution to fully automate this process?
A Splunk SOAR playbook can ingest the notable event, automatically query threat-intel, update lists for malicious indicators, and execute containment actions on the affected host - all in one end-to-end, fully automated workflow.
Which of the following roles is commonly responsible for selecting and designing the infrastructure and tools that a security analyst utilizes to effectively complete their job duties?
Answer(s): D
The Security Architect is responsible for selecting and designing the security infrastructure and tools. They define the overall security framework, choose the appropriate technologies, and ensure the tools and systems support the analysts' ability to detect, investigate, and respond to threats effectively.
After discovering some events that were missed in an initial investigation, an analyst determines this is because some events have an empty src field. Instead, the required data is often captured in another field called machine_name.What SPL could they use to find all relevant events across either field until the field extraction is fixed?
https://www.splunk.com/en_us/blog/tips-and-tricks/search-command-coalesce.html
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