Newly Released CompTIA CAS-005 Exam PDF

Step-by-Step Explanation:

Regression testing ensures that new changes do not break existing functionality. It would have identified the memory leak before deployment, preventing downtime.

Chain of custody ensures that evidence is protected, documented, and accounted for from the moment it is collected until it is presented in court or a legal proceeding. Properly maintaining chain of custody is critical to proving that the evidence has not been tampered with. Although encryption protects data during transit, and legal issues are important, without a documented chain of custody, the integrity of the evidence itself could be challenged and invalidated.

Homomorphic encryption allows computations to be performed on encrypted data without decrypting it, providing strong privacy guarantees. However, the adoption of homomorphic encryption is challenging due to several factors:

A. Incomplete mathematical primitives: This is not the primary barrier as the theoretical foundations of homomorphic encryption are well-developed.

B. No use cases to drive adoption: There are several compelling use cases for homomorphic encryption, especially in privacy-sensitive fields like healthcare and finance.

C. Quantum computers not yet capable: Quantum computing is not directly related to the challenges of adopting homomorphic encryption.

D. Insufficient coprocessor support: The computational overhead of homomorphic encryption is significant, requiring substantial processing power. Current general-purpose processors are not optimized for the intensive computations required by homomorphic encryption, limiting its practical deployment. Specialized hardware or coprocessors designed to handle these computations more efficiently are not yet widely available.

This scenario describes an attack where the attacker mimics the CEO’s voice to deceive the CFO, likely using AI-generated audio. According to the CompTIA SecurityX CAS-005 study guide (Domain 1: Security Strategy and Risk Management, 1.2), a deepfake attack involves using artificial intelligence to create realistic but fake audio, video, or other media to impersonate someone. In this case, the voice similarity suggests a deepfake audio attack, which is a targeted social engineering tactic.

Option A:Smishing involves SMS-based phishing, not voicecalls.

Option C:Automated exploit generation refers to creating software exploits, not impersonation.

Option D:Spear phishing targets specific individuals but typically via email, not voice-based impersonation.

Option B:Deepfake is the most accurate, as it describes AI-driven impersonation of the CEO’s voice.