RA-3(4)—Predictive Cyber Analytics
>Control Description
>Supplemental Guidance
A properly resourced Security Operations Center (SOC) or Computer Incident Response Team (CIRT) may be overwhelmed by the volume of information generated by the proliferation of security tools and appliances unless it employs advanced automation and analytics to analyze the data. Advanced automation and analytics capabilities are typically supported by artificial intelligence concepts, including machine learning. Examples include Automated Threat Discovery and Response (which includes broad-based collection, context-based analysis, and adaptive response capabilities), automated workflow operations, and machine assisted decision tools.
Note, however, that sophisticated adversaries may be able to extract information related to analytic parameters and retrain the machine learning to classify malicious activity as benign. Accordingly, machine learning is augmented by human monitoring to ensure that sophisticated adversaries are not able to conceal their activities.
>Assessment Interview Topics
Questions assessors commonly ask
Process & Governance:
- •What is your organization's documented risk assessment policy and how does it address the requirements of RA-3(4)?
- •Who has been designated as responsible for conducting and maintaining risk assessments?
- •How frequently are risk assessments conducted and what triggers an update to the risk assessment?
Technical Implementation:
- •What methodology or framework do you use to conduct risk assessments?
- •How do you identify and categorize threats and vulnerabilities during the risk assessment process?
- •What tools or systems support your risk assessment activities?
Evidence & Documentation:
- •Can you provide the most recent risk assessment report?
- •What evidence demonstrates that risk assessment findings are communicated to appropriate stakeholders?
- •Where are risk assessment results documented and how long are they retained?
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