CompTIA CAS-005 Exam With Confidence Using Practice Dumps

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.

The best solution is to implement an interactive honeypot (A). Honeypots are decoy systems designed to attract and observe adversary behavior in real time. When security tools cannot categorize suspicious inbound traffic, a honeypot provides an isolated environment where the suspicious activity can be redirected and monitored without risking production systems. By deploying an interactive honeypot, analysts can study attacker tactics, techniques, and procedures (TTPs), extract Indicators of Compromise (IoCs), and improve defensive controls.

Option B (mapping to known IoCs) fails because the activity cannot be categorized, implying it is novel or not yet identified in threat intelligence feeds. Option C (monitoring the dark web) provides intelligence about potential threats but does not address real-time inbound suspicious activity. Option D (UEBA) focuses on analyzing user and entity behaviors but is less effective for categorizing inbound external traffic.

By using honeypots, organizations gain visibility into new, unknown, or advanced attack techniques, which helps improve detection capabilities, enrich threat intelligence, and strengthen incident response.

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.