Buttercup games has implemented over 100 detections in their SOC. These detections consist mostly of vendor provided signatures and field matching that have been tuned, with a few that have been custom built.What more advanced detection methods should they deploy?
Answer(s): C
An outlier-based algorithm is a more advanced detection method because it uses behavioral or statistical analysis to identify activity that deviates from expected patterns. This moves beyond tuned signatures and field matching into anomaly-based detection, which can help uncover unknown or subtle threats.
What strategies enable data-driven approaches to evaluating tool efficacy? (Choose all that apply.)
Answer(s): A,C,D
Data-driven evaluation requires clear success criteria, prioritized requirements tied to real use cases, and ongoing metrics collection after deployment. These practices make it possible to measure whether a tool is actually improving security operations, meeting business needs, and delivering measurable value.
Emma is a security architect helping migrate her organization’s on-premises SIEM to a newer version of the same SIEM running in a cloud provider. The newer version includes enhanced capabilities for writing detection content. The detection engineering team has built hundreds of rules in the on-premises SIEM over the years.As Emma starts planning for the migration, what should she do about moving the detection rules to the new platform?
Answer(s): D
Before migrating detection content, Emma should assess which existing rules still align with the organization’s current threat models, risks, data sources, and operational needs. This helps prioritize valuable detections for migration and avoids carrying forward stale, redundant, or low-value rules into the new platform.
What is a SBOM?
Answer(s): A
A Software Bill of Materials is an inventory of the software components, libraries, packages, and dependencies used in an application or system. It helps organizations understand software supply chain risk, track vulnerable components, and support vulnerability management.
Bocklava, Inc. is looking to launch their Software as a Service in an environment that is accredited against a specific control framework (i.e. PCI, ISO).What is the most effective way to ensure the appropriate controls of this environment are properly funded and implemented?
Creating a business case is the most effective way to justify funding and implementation of required controls because it connects compliance requirements, business risk, cost, and expected outcomes. This helps leadership approve the resources needed to launch the SaaS environment in alignment with the required control framework.
Of the following options, which is the best approach to implementing an effective business continuity plan?
An effective business continuity plan must define clear recovery objectives, such as acceptable downtime and data loss, and be tested regularly to confirm it works during real disruptions. Regular testing also helps identify gaps before an actual incident occurs.
An alert has generated for a malicious file tied to a previously unknown malware.In order to protect the integrity of the investigation, how can the response team automate collection of evidence?
Answer(s): B
Pulling the file from the affected system and storing it in a secure vault preserves the evidence for investigation while maintaining integrity and chain of custody. This supports later forensic analysis without immediately altering or executing the malware sample.
A cybersecurity team is looking to leverage DevSecOps best practices. They want to test new security policies with a small subset of users while monitoring for unusual access patterns or failures.Which of the following techniques will support this? (Choose all that apply.)
Answer(s): C,D
Canary releases allow new security policies to be introduced gradually to a small subset of users while monitoring for access issues, failures, or unexpected behavior. Automated rollbacks support this approach by quickly reverting the change if the monitored results show problems, reducing operational risk during policy deployment.
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