Pass the CompTIA CompTIA CASP CAS-005 Questions and answers with CertsForce

The organization is most concerned about Generative AI improving phishing and social engineering attacks. Tools like ChatGPT can generate highly convincing phishing emails, fake websites, and human-like interactions that bypass traditional detection methods. Employees who were trained to spot poor grammar or obvious scams may now struggle to detect AI-crafted exploits.

Option A relates to compliance but not AI-driven threats. Option B (overreliance on AI bots) is operational risk, not phishing. Option D (differential analysis) applies to AI privacy issues, not phishing.

CAS-005 emphasizes adapting training to emerging threats, including AI-enabled social engineering. This ensures users remain resilient against modern attacks, making C the correct answer.

The best answer is C. OWIN29 ' s EDR has an unknown vulnerability that was exploited by the attacker . The decisive clue is that OWIN29 had EDR status: Enabled (bypass) in both reports and changed from Clean to Infected after five days. That strongly indicates the endpoint protection on that host was being bypassed, allowing compromise despite the agent being present. In SecurityX terms, this fits the theme of resilience against advanced threats and the possibility that a defensive tool can be circumvented or affected by a zero-day or other unknown weakness. CompTIA’s SecurityX certification emphasizes designing and operating secure solutions that remain resilient in the face of modern threats.

Why the other options are less likely:

A is not supported because OWIN23 remained Clean . B is speculative; LN002 stayed Unknown , but there is no evidence it propagated malware to OWIN29. D is also unsupported because MAC005 was Clean even after its EDR became disabled. The only host with a direct clue pointing to failed protection and subsequent infection is OWIN29 , making the EDR bypass or exploitation on that host the most likely cause.

In the context of establishing a Security Operations Center (SOC) with a threat-modeling function, it ' s crucial to understand how data flows within the organization ' s systems. Network and data flow diagrams provide a visual representation of the system ' s architecture, illustrating how data moves between components, which is essential for identifying potential security weaknesses and antipatterns. Antipatterns are common responses to recurring problems that are ineffective and risk-inducing. By analyzing these diagrams, the consultant can pinpoint areas where security controls may be lacking or misconfigured, thereby facilitating the development of effective threat models.​

While other options like unpatchable IoT devices (Option B) and inventories of cloud resources (Option E) are important for comprehensive security assessments, they are more pertinent during later stages, such as vulnerability management and asset inventory. The initial phase of threat modeling focuses on understanding the system ' s structure and data flows to identify potential threats, making network and data flow diagrams the most critical information at this stage.​

Zero Trust security is based on the principle of “never trust, always verify.” For a mobile and frequently traveling workforce, enforcing rigid access models without adaptability creates friction and hampers productivity. The first priority in Zero Trust design for such a workforce is to deploy context-aware reauthentication combined with User Behavior Analytics (UBA). This ensures that deviations from baseline user behavior—such as unusual geographic access, time of day anomalies, or device changes—trigger additional authentication or session restrictions.

Option A (hardware OTPs) enhances authentication security but does not provide adaptive, risk-based controls for varying user behavior. Option B (TLS decryption) focuses on network traffic inspection, which is important but secondary to ensuring identity and access enforcement in a Zero Trust model. Option C (posture compliance checks) is necessary but typically part of ongoing device security enforcement rather than the initial step.

By starting with context-aware reauthentication, the organization ensures its Zero Trust strategy adapts dynamically to user behavior, providing both stronger security and a smoother experience for a global, remote workforce.

On-path decryption attacks, such as BEAST (Browser Exploit Against SSL/TLS) and other related vulnerabilities, often exploit weaknesses in the implementation of CBC (Cipher Block Chaining) mode. To mitigate these attacks, the following actions are recommended:

B. Removing support for CBC-based key exchange and signing algorithms: CBC mode is vulnerable to certain attacks like BEAST. By removing support for CBC-based ciphers, you can eliminate one of the primary vectors for these attacks. Instead, use modern cipher modes like GCM (Galois/Counter Mode) which offer better security properties.

C. Adding TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA256: This cipher suite uses Elliptic Curve Diffie-Hellman Ephemeral (ECDHE) for key exchange, which provides perfect forward secrecy. It also uses AES in GCM mode, which is not susceptible to the same attacks as CBC. SHA-256 is a strong hash function that ensures data integrity.

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.

To ensure the most secure way of keeping a legacy system (COL) operating until a new solution is available, isolating the system and enforcing strict firewall rules is the best approach. This method minimizes the attack surface by restricting access to only the necessary endpoints, thereby reducing the risk of unauthorized access and potential security breaches. Isolating the system ensures that it is not exposed to the broader network, while firewall rules control the traffic that can reach the system, providing a secure environment until a replacement is implemented.

The best way to address these requirements is to apply Role-Based Access Controls (RBAC) combined with geolocation policies. RBAC ensures that customers are authenticated and authorized to access only the data they are entitled to, thereby minimizing data exposure risks. At the same time, geolocation policies enforce restrictions on which regions customers can access data from, helping with compliance requirements such as GDPR or regional sovereignty laws.

Option B (replicating data in each customer environment) is inefficient, expensive, and introduces additional risks related to data sprawl. Option C (regional hosting with unique links) complicates access management and does not inherently prevent exposure or enforce strong authentication. Option D (restricting to a single region provider) removes flexibility and may conflict with customer needs for global access.

Therefore, implementing RBAC along with geolocation controls provides fine-grained access management, ensures compliance, prevents unnecessary data exposure, and is scalable for a global cloud environment.

The technique that best addresses the issue of insider threats from employees who have individual access to encrypted material is key splitting. Here’s why:

Key Splitting: Key splitting involves dividing a cryptographic key into multiple parts anddistributing these parts among different individuals or systems. This ensures that no single individual has complete access to the key, thereby mitigating the risk of insider threats.

Increased Security: By requiring multiple parties to combine their key parts to access encrypted material, key splitting provides an additional layer of security. This approach is particularly useful in environments where sensitive data needs to be protected from unauthorized access by insiders.

Compliance and Best Practices: Key splitting aligns with best practices and regulatory requirements for handling sensitive information, ensuring that access is tightly controlled and monitored.

Public Key Infrastructure (PKI) supports change management by securing messages (e.g., approvals, updates).Non-repudiation, provided via digital signatures, ensures a sender cannot deny sending a message, critical for auditability in change processes.

Option A:Correct—PKI’s digital signatures ensure non-repudiation.

Option B:Confidentiality (via encryption) is a PKI feature but less tied to change management’s focus on accountability.

Option C:Delivery receipts are not aPKI function; they’re protocol-specific (e.g., SMTP).

Option D:Attestation relates to verifying attributes, not a direct PKI message capability.