CAS-005 Exam Dumps : CompTIA SecurityX Certification Exam

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.

To provide secure access tointernal and external cloud resources, eliminate split-tunnel traffic flows, and enable identity and access management capabilities, the most appropriate solutions are CASB (Cloud Access Security Broker) and SASE (Secure Access Service Edge).

Why CASB and SASE?

CASB (Cloud Access Security Broker):

Secure Access: CASB solutions provide secure access to cloud resources by enforcing security policies and monitoring user activities.

Identity and Access Management: CASBs integrate with identity and access management (IAM) systems to ensure that only authorized users can access cloud resources.

Visibility and Control: They offer visibility into cloud application usage and control over data sharing and access.

SASE (Secure Access Service Edge):

Eliminate Split-Tunnel Traffic: SASE integrates network security functions with WAN capabilities to ensure secure access without the need for split-tunnel configurations.

Comprehensive Security: SASE provides a holistic security approach, including secure web gateways, firewalls, and zero trust network access (ZTNA).

Identity-Based Access: SASE leverages IAM to enforce access controls based on user identity and context.

Other options, while useful, do not comprehensively address all the requirements:

A. Federation: Useful for identity management but does not eliminate split-tunnel traffic or provide comprehensive security.

B. Microsegmentation: Enhances security within the network but does not directly address secure access to cloud resources or split-tunnel traffic.

D. PAM (Privileged Access Management): Focuses on managing privileged accounts and does not provide comprehensive access control for internal and external resources.

E. SD-WAN: Enhances WAN performance but does not inherently provide the identity and access management capabilities or eliminate split-tunnel traffic.

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.