CISA Exam Dumps - Certified Information Systems Auditor

Full disk encryption (FDE) is a means of protecting information by encrypting all of the data on a disk, including temporary files, programs, and system files1. FDE is best suited for addressing the risk scenario of physical theft of media on which information is stored, as it prevents unauthorized access to the data even if the device is lost or stolen2. FDE does not prevent data leakage as a result of employees leaving to work for competitors, as they may still have access to the data while using the device or copy the data to another device before leaving. FDE does not prevent noncompliance fines related to storage of regulated information, as it does not ensure that the data is stored in accordance with the applicable laws and regulations. FDE does not prevent unauthorized logical access to information through an application interface, as it does not control the access rights and permissions of users and applications. *References: According to the ISACA IT Audit and Assurance Standards, Guidelines and Tools and Techniques for IS Audit and Assurance Professionals, section 2402 Planning, “The IS audit and assurance professional should identify and assess risk relevant to the area under review.” 3 One of the risk factors to consider is “the sensitivity of information processed, stored or transmitted by the system” 3. FDE is one of the possible controls to mitigate the risk of unauthorized disclosure of sensitive information due to physical theft of media.

 The auditor should first escalate to audit management to discuss the audit plan. This is because the audit plan should be based on a risk assessment and aligned with the organization’s objectives and strategies. The auditor should not accept the CIO’s request without proper justification and approval from the audit management, who are responsible for ensuring the audit plan’s quality and independence. The auditor should also communicate the potential risks and implications of not conducting IS audits in the upcoming year, such as missing new or emerging threats, vulnerabilities, or compliance issues. References:

CISA Review Manual (Digital Version), Chapter 2, Section 2.11

CISA Online Review Course, Domain 1, Module 1, Lesson 22

 The auditor should be most concerned with the impact AI will have on enterprise architecture (EA) when reviewing a project to replace multiple manual data entry systems with an AI system. EA is a comprehensive framework that defines the structure, components, relationships, and principles of an organization’s IT environment. EA can help to align the IT strategy with the business strategy and ensure the coherence, consistency, and integration of the IT systems and services. Replacing manual data entry systems with an AI system may have significant implications for the EA, such as changing the business processes, data flows, security requirements, performance standards, or governance models. The auditor should assess whether the project has considered the impact of AI on EA and whether the EA has been updated accordingly. References:

CISA Review Manual (Digital Version), Chapter 1, Section 1.41

CISA Online Review Course, Domain 5, Module 1, Lesson 22

 Internet Protocol (IP) address restrictions are used in a firewall to protect the entity’s internal resources by allowing or denying access to specific IP addresses or ranges of IP addresses based on predefined rules. Remote access servers, Secure Sockets Layers (SSLs), and failover services are not directly related to firewall protection, but rather to other aspects of network security, such as authentication, encryption, and availability. References: CISA Review Manual (Digital Version), Chapter 5: Protection of Information Assets, Section 5.2: Network Security Devices and Technologies

The first step to successfully implement a corporate data classification program is to approve a data classification policy. A data classification policy is a document that defines the objectives, scope, principles, roles, responsibilities, and procedures for classifying data based on its sensitivity and value to the organization. A data classification policy is essential for establishing a common understanding and a consistent approach for data classification across the organization, as well as for ensuring compliance with relevant regulatory and contractual requirements.

Selecting a data loss prevention (DLP) product (option B) is not the first step to implement a data classification program, as it is a technical solution that supports the enforcement of the data classification policy, not the definition of it. A DLP product can help prevent unauthorized access, use, or disclosure of sensitive data by monitoring, detecting, and blocking data flows that violate the data classification policy. However, before selecting a DLP product, the organization needs to have a clear and approved data classification policy that specifies the criteria and rules for data classification.

Confirming that adequate resources are available for the project (option C) is also not the first step to implement a data classification program, as it is a project management activity that ensures the feasibility and sustainability of the project, not the design of it. Confirming that adequate resources are available for the project involves estimating and securing the necessary budget, staff, time, and tools for implementing and maintaining the data classification program. However, before confirming that adequate resources are available for the project, the organization needs to have a clear and approved data classification policy that defines the scope and objectives of the project.

Checking for the required regulatory requirements (option D) is also not the first step to implement a data classification program, as it is an input to the development of the data classification policy, not an output of it. Checking for the required regulatory requirements involves identifying and analyzing the applicable laws, regulations, standards, and contracts that govern the protection and handling of sensitive data. However, checking for the required regulatory requirements is not enough to implement a data classification program; the organization also needs to have a clear and approved data classification policy that incorporates and complies with those requirements.

Therefore, option A is the correct answer.

References:

Data Classification: What It Is and How to Implement It

Create a well-designed data classification framework

7 Steps to Effective Data Classification | CDW

Data Classification: The Basics and a 6-Step Checklist - NetApp

Private and confidential February 2021 - Deloitte US