CAS-005 Exam Dumps - CompTIA SecurityX Certification Exam

Comprehensive and Detailed Explanation:

Integrating IDS, firewall, and DLP to reduce response time requires orchestration and automation. Let’s evaluate:

A. SOAR(Security Orchestration, Automation, and Response):SOAR integrates security tools, automates workflows, and speeds up incident response. It’s the best fit for this scenario, as CAS-005 highlights SOAR for operational efficiency.

B. CWPP (CloudWorkload Protection Platform):Focused on securing cloud workloads, not integrating on-premises tools.

C. XCCDF (Extensible Configuration Checklist Description Format):A standard for compliance checklists, not a tool for integration or response.

Homomorphic encryption allows computations to be performed on encrypted data without decrypting it, preserving confidentiality. However, its adoption faces significant challenges due to performance overhead. According to the CompTIA SecurityX CAS-005 study materials (Domain 3: Cybersecurity Technology, 3.3), homomorphic encryption requires substantial computational resources, which standard processors struggle to provide efficiently. Specialized hardware, such as coprocessors (e.g., GPUs or TPUs), is oftenneeded to handle the complex mathematical operations involved. The lack of widespread, optimized coprocessor support in existing infrastructure is a primary barrier to adoption.

Option A (Incomplete mathematical primitives):While early homomorphic encryption schemes had limitations, modern schemes (e.g., CKKS, BFV) have mature mathematical foundations, making this less of a challenge today.

Option B (No use cases):Use cases exist, such as secure cloud computing and privacy-preserving data analytics, so this is not accurate.

Option C (Quantum computers):Homomorphic encryption is not dependent on quantum computing, and quantum computers are unrelated to its current challenges.

Option D (Insufficient coprocessor support):This is the most accurate, as performance bottlenecks require specialized hardware that is not yet widely available or integrated.

Software Composition Analysis (SCA) is the best method for identifying all components, dependencies, and open-source libraries used inan application. It ensures that organizations track and manage vulnerabilities in third-party code before deployment.

SCA tools generate a Software Bill of Materials (SBOM), which provides a full representation of the code and modules used in the application.

Other options:

Static Application Security Testing (SAST) (C) checks for vulnerabilities but does not map dependencies.

Interactive Application Security Testing (IAST) (D) works at runtime, not before deployment.

Runtime Application Self-Protection (RASP) (B) works while the application is running.

Creatingsecure baseline imagesensuresconsistent, repeatabledeployment aligned with hardening standards. These images can be used acrosson-premises and cloud environments, ensuring compliance and reducing misconfigurations.

Vulnerability alerts (A)are reactive, not preventive.

Building images from scratch (C)is time-consuming and unnecessary if baselines exist.

Scripts for cleanup (D)are useful but do not prevent initial insecure configurations.

Privileged Access Management (PAM)restricts elevated permissions, reducing the risk of widespread ransomware attacks.Multi-Factor Authentication (MFA)protects against credential theft and ensures that even if passwords are compromised, accounts are not easily accessible.Network segmentationbreaks the flat network into secure zones, limiting lateral movement by attackers. SD-WAN and BGP relate to network routing and efficiency, not security architecture specifically. Remote access VPN secures external access but does not solve internal flat network issues. Network Access Control (NAC) is helpful but secondary compared to PAM, MFA, and segmentation in this context.

Creating a separate network for users who need access tothe application is the best action to secure an internal application that is critical to the production area and cannot be updated.

Why Separate Network?

Network Segmentation: Isolates the critical application from the rest of the network, reducing the risk of compromise and limiting the potential impact of any security incidents.

Controlled Access: Ensures that only authorized users have access to the application, enhancing security and reducing the attack surface.

Minimized Risk: Segmentation helps in protecting the application from vulnerabilities that could be exploited from other parts of the network.

Other options, while beneficial, do not provide the same level of security for a critical application:

A. Disallow wireless access: Useful but does not provide comprehensive protection.

B. Deploy intrusion detection capabilities using a network tap: Enhances monitoring but does not provide the same level of isolation and control.

C. Create an acceptable use policy: Important for governance but does not provide technical security controls.

To address the specific OS benchmark configurations, the following solutions are most appropriate:

C. SCAP (Security Content Automation Protocol): SCAP helps in automating vulnerability management and policy compliance, including configurations like full disk encryption, host-based firewalls, and password policies.

D. SASE (Secure Access Service Edge): SASE provides a framework for Zero Trust network access and application allow listing, ensuring secure and compliant access to applications and data.

These solutions together cover the comprehensive security requirements specified in the OS benchmark, ensuring a robust security posture for endpoints.

Post-Quantum Cryptography (PQC) preparation is critical to protect data against future quantum computing attacks that could break current cryptographic algorithms (e.g., RSA, ECC). According to the CompTIA SecurityX CAS-005 study guide (Domain 3: Cybersecurity Technology, 3.3), quantum computers with sufficient computational power could perform calculations (e.g., Shor’s algorithm) to decrypt data protected by traditional algorithms. PQC focuses on developing algorithms resistant to such increases in computational resources, ensuring long-term data security.

Option B:Key stretching is a technique to strengthen passwords, not related to PQC.

Option C:PQC algorithms often have higher computational costs, not improved performance.

Option D:Asymmetric encryption is not ideal for large data sets, and PQC is not specifically about this use case.

Option A:This accurately describes PQC’s purpose to safeguard data against quantum-driven decryption.