CAS-005 Exam Dumps : CompTIA SecurityX Certification Exam

A centralized Software Bill of Materials (SBoM) is the best solution for identifying vulnerabilities in container images in aprivate repository. An SBoM provides a comprehensive inventory of all components, dependencies, and their versions within a container image, facilitating quick evaluation and response to vulnerabilities.

Why Centralized SBoM?

Comprehensive Inventory: An SBoM lists all software components, including their versions and dependencies, allowing for thorough vulnerability assessments.

Quick Identification: Centralizing SBoM data enables rapid identification of affected containers when a vulnerability is disclosed.

Automation: SBoMs can be integrated into automated tools for continuous monitoring and alerting of vulnerabilities.

Regulatory Compliance: Helps in meeting compliance requirements by providing a clear and auditable record of all software components used.

Other options, while useful, do not provide the same level of comprehensive and efficient vulnerability management:

A. SAST scan reports: Focuses on static analysis of code but may not cover all components in container images.

C. CIS benchmark compliance reports: Ensures compliance with security benchmarks but does not provide detailed component inventory.

D. Credentialed vulnerability scan: Useful for in-depth scans but may not be as efficient for quick vulnerability evaluation.

Incident response follows a standard process (e.g., NIST 800-61): Preparation, Identification, Containment, Eradication, Recovery, Lessons Learned. After identifying the attack (file and origin), the next step isContainment—limiting the spread or impact (e.g., isolating systems) before remediation or recovery.

Option A:Remediation (fixing the root cause) follows containment.

Option B:Correct—containment prevents further damage post-identification.

Option C:“Response” is too vague; it encompasses all steps.

Option D:Recovery (restoring systems) comes after containment and eradication.

The organization is most concerned about Generative AI improving phishing and social engineering attacks. Tools like ChatGPT can generate highly convincing phishing emails, fake websites, and human-like interactions that bypass traditional detection methods. Employees who were trained to spot poor grammar or obvious scams may now struggle to detect AI-crafted exploits.

Option A relates to compliance but not AI-driven threats. Option B (overreliance on AI bots) is operational risk, not phishing. Option D (differential analysis) applies to AI privacy issues, not phishing.

CAS-005 emphasizes adapting training to emerging threats, including AI-enabled social engineering. This ensures users remain resilient against modern attacks, making C the correct answer.