CAS-005 Exam Dumps : CompTIA SecurityX Certification Exam

Step-by-Step Explanation:

Option A: Deny list

Deny lists block specific applications or processes identified as malicious.

This approach is reactive and mayinadvertently block the non-standard applications that are currently in use without proper ownership.

Option B: Allow list

Allow lists permit only pre-approved applications to run.

While secure, this approach requires defining all non-standard applications, which may disrupt operations in an environment where ownership is unclear.

Option C: Audit mode

Correct Answer.

Audit mode allows monitoring and logging of applications without enforcing restrictions.

This is ideal in environments with non-standard applications and undefined ownership because it enables the engineer to observe the environment and gradually implement control without interruption.

Audit mode provides critical visibility into the software landscape, ensuring that necessary applications remain functional.

Option D: MAC list

Mandatory Access Control (MAC) lists restrict access based on classification and clearance levels.

This does not align with application control objectives in this context.

CompTIA CASP+ Study Guide - Chapters on Endpoint Security and Application Control.

CASP+ Objective 2.4: Implement appropriate security controls for enterprise endpoints.

When using AI to fully automate the process of deciding client loan rates, the primary concern from a privacy perspective is model explainability.

Why Model Explainability is Critical:

Transparency: It ensures that the decision-making process of the AI model can be understood and explained to stakeholders, including clients.

Accountability: Helps in identifying biases and errors in the model, ensuring that the AI is making fair and unbiased decisions.

Regulatory Compliance: Various regulations require that decisions, especially those affecting individuals' financial status, can be explained and justified.

Trust: Builds trust among users and stakeholders by demonstrating that the AI decisions are transparent and justifiable.

Other options, such ascredential theft, prompt injections, and social engineering, are significant concerns but do not directly address the privacy and fairness implications of automated decision-making.