Most Recent CompTIA CAS-004 Exam Dumps

Tokenization is the best solution to protect payment card data from unauthorized disclosure when moving to the cloud. Tokenization replaces sensitive card data with unique identifiers (tokens) that have no exploitable value outside the tokenization system. Even if the data is compromised, the attacker would not obtain actual card numbers. This is in line with PCI DSS requirements for protecting payment card information. Other solutions like encryption at rest or field masking help, but tokenization provides the strongest protection by ensuring that card data is not stored at all.

CASP+ CAS-004 Exam Objectives: Domain 1.0 -- Risk Management (Tokenization and PCI DSS Compliance)

CompTIA CASP+ Study Guide: Data Protection Techniques (Tokenization)

Resource exhaustion is a condition that occurs when a system or service runs out of resources, such as memory, CPU, disk space, or bandwidth, and becomes unable to function properly or respond torequests. Resource exhaustion can be caused by high demand, poor design, misconfiguration, or malicious attacks, such as denial-of-service (DoS).

Resource exhaustion would be the most significant business risk to a company that signs a contract with a cloud service provider (CSP) that is able to provide the same uptime as other CSPs at a markedly reduced cost, because this could:

Indicate that the CSP is oversubscribing or underprovisioning its resources, which could result in performance degradation, service disruption, or data loss for the company.

Affect the company's availability, reliability, and scalability requirements, which could impact its operations, reputation, and customer satisfaction.

Expose the company to potential security breaches or compliance violations, if the CSP does not implement adequate security controls or measures to prevent or mitigate resource exhaustion.

Hardening the engineering workstations using a consistent strategy would have the greatest impact on reducing the attack surface. The workstations are running outdated and unsupported operating systems, with no security controls, and inconsistent software installations, which significantly increases the risk of exploitation. Hardening involves applying patches, reducing unnecessary software, disabling unused services, and ensuring uniform security controls across all systems. By addressing these vulnerabilities and inconsistencies, the overall security posture improves significantly, which aligns with CASP+ best practices on reducing attack surfaces by standardizing and securing endpoint configurations.

CASP+ CAS-004 Exam Objectives: Domain 1.0 -- Risk Management (Vulnerability Management, System Hardening)

CompTIA CASP+ Study Guide: Hardening Techniques and Attack Surface Reduction

Modeling user behavior and monitoring for deviations from normal and continuously monitoring code commits to repositories and generating summary logs are actions that will enable the data feeds needed to detect unauthorized insertions into application development environments and authorized insiders making unauthorized changes to environment configurations. Modeling user behavior and monitoring for deviations from normal is a technique that uses baselines, analytics, machine learning, or other methods to establish normal patterns of user activity and identify anomalies or outliers that could indicate malicious or suspicious behavior. Modeling user behavior and monitoring for deviations from normal can help detect unauthorized insertions into application development environments, as it can alert on unusual or unauthorized access attempts, commands, actions, or transactions by users. Continuously monitoring code commits to repositories and generating summary logs is a technique that uses tools, scripts, automation, or other methods to track and record changes made to code repositories by developers, testers, reviewers, or other parties involved in the software development process. Continuously monitoring code commits to repositories and generating summary logs can help detect authorized insiders making unauthorized changes to environment configurations, as it can audit and verify the source, time, reason, and impact of code changes made by authorized users. Performing static code analysis of committed code and generate summary reports is not an action that will enable the data feeds needed to detect unauthorized insertions into application development environments and authorized insiders making unauthorized changes to environment configurations, but an action that will enable the data feeds needed to detect vulnerabilities, errors, bugs, or quality issues in committed code. Implementing an XML gateway and monitor for policy violations is not an action that will enable the data feeds needed to detect unauthorized insertions into application development environments and authorized insiders makingunauthorized changes to environment configurations, but an action that will enable the data feeds needed to protect XML-based web services from threats or attacks by validating XML messages against predefined policies. Monitoring dependency management tools and report on susceptible third-party libraries is not an action that will enable the data feeds needed to detect unauthorized insertions into application development environments and authorized insiders making unauthorized changes to environment configurations, but an action that will enable the data feeds needed to identify outdated or vulnerable third-party libraries used in software development projects. Installing an IDS (intrusion detection system) on the development subnet and passively monitor for vulnerable services is not an action that will enable the data feeds needed to detect unauthorized insertions into application development environments and authorized insiders making unauthorized changes