CISA Exam Dumps - Certified Information Systems Auditor

The most importantoutcome of an information security program is to improve the organizational awareness of security responsibilities, as this will foster a culture of security and ensure that all stakeholders are aware of their roles and obligations in protecting the information assets of theorganization. An information security program should also aimto achieve other outcomes, such as identifying operating system weaknesses, understanding and accepting emerging security technologies, and reducing the cost to mitigate information security risk, but these are not as important as improving the awareness of security responsibilities, which is the foundation of any effective information security program. *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.” 1 One of the risk factors to consider is “the level of awareness of management and staff regarding IT risk management” 1. According to the ISACAIT Audit and Assurance Guideline G13 Information Security Management, “The objective of an information security management audit/assurancereview is to provide management with an independent assessment relating to the effectiveness of information security management within the enterprise.” The guideline also states that “the audit/assurance professional should evaluate whether there is an appropriate level of awareness throughout the enterprise regarding information security policies, standards, procedures and guidelines.” According to a web search result from Microsoft Security, “Information security programs need to: … Support the execution of decisions.” 2 One of the ways to support the execution of decisions is to ensure that everyone in the organization understands their security responsibilities and follows the security policies and procedures.

 The greatest concern with this situation is that a business-critical application does not currently have any level of fault tolerance and thus has a single point of failure. A single point of failure is a component or element of a system that, if it fails, will cause the entire system to stop functioning. Fault tolerance is the ability of a system to continue operating without interruption or degradation in the event of a failure of one or more of its components or elements. Fault tolerance can be achieved by using techniques such as redundancy, replication, backup, or failover. A business-critical application should have a high level of fault tolerance to ensure its availability, reliability, and continuity. References:

CISA Review Manual (Digital Version), Chapter 5, Section 5.51

CISA Online Review Course,Domain 3, Module 3, Lesson 22

The most effective method of destroying sensitive data stored on electronic media is physical destruction, which involves breaking, shredding, melting, or incinerating the media to make it unreadable and unrecoverable. Degaussing, random character overwrite, and low-level formatting are methods of sanitizing or erasing data from electronic media, but they do not guarantee complete destruction of data and may leave some traces that can be recovered by advanced techniques. Therefore, physical destruction is the most secure and reliable method of data disposal for sensitive data. References: CISA Review Manual (Digital Version), Chapter 5: Protection of Information Assets, Section 5.4: Data Disposal

The concept of materiality is most important for an IS auditor to apply when planning an audit engagement, because it helps the auditor to determine the scope, objectives, procedures and resources of the audit. Materiality is the degree to which an omission or misstatement of information could affect the users’ decisions or the achievement of the audit objectives. By applying the concept of materiality, the auditor can focus on the most significant and relevant areas of the audit and avoid wasting time and effort on trivial or immaterial matters. The other options are not as important as planning an audit engagement, because they are either based on or affected by the materiality assessment done during the planning phase. References:

ISACA, CISA Review Manual, 27th Edition, chapter 1, section 1.31

ISACA, IT Audit and Assurance Standards, Guidelines and Tools and Techniques forIS Audit and Assurance Professionals, section 12022

The answer A is correct because the greatest concern for an IS auditor when a data owner assigns an incorrect classification level to data is that controls to adequately safeguard the data may not be applied. Data classification is the process of categorizing data assets based on their information sensitivity and business impact. Data classification helps organizations to identify, protect, and manage their data according to their value and risk. Data owners are the individuals or entities who have the authority and responsibility to define, classify, and control the access and use of their data.

Data classification typically involves assigning labels or tags to data assets, such as public, internal, confidential, or restricted. These labels indicate the level of protection and handling required for the data. Based on the data classification, organizations can implement appropriate controls to safeguard the data, such as encryption, access control lists, audit logs, backup policies, etc. These controls help to prevent unauthorized access, disclosure, modification, or loss of data, and to ensure compliance with relevant laws and regulations.

If a data owner assigns an incorrect classification level to data, it can result in either underprotection or overprotection of the data. Underprotection means that the data is classified at a lower level than itshould be, which exposes it to higher risks of compromise or breach. For example, if a data owner classifies personal health information (PHI) as public instead of confidential, it may allow anyone to access or share the data without proper authorization or consent. This can violate the privacy rights of the data subjects and the compliance requirements of regulations such as HIPAA (Health Insurance Portability and Accountability Act). Overprotection means that the data is classified at a higher level than it should be, which limits its availability or usability. For example, if a data owner classifies marketing materials as restricted instead of public, it may prevent potential customers or partners from accessing or viewing the data. This can reduce the business value and opportunities of the data.

Therefore, an IS auditor should be concerned about the accuracy and consistency of data classification by data owners, as it affects the security and efficiency of data management. An IS auditor should review the policies and procedures for data classification, verify that the data owners have adequate knowledge and skills to classify their data, and test that the data classification labels match with the actual sensitivity and impact of the data.

References:

Data Classification: What It Is and How to Implement It

What Is Data Classification? - Definition, Levels & Examples …

Data Classification: A Guide for Data Security Leaders

 The answer B is correct because data minimization is the most important design consideration to mitigate the risk of exposing data through application programming interface (API) queries. An API is a set of rules and protocols that allows different software components or systems to communicate and exchange data. API queries are requests sent by users or applications to an API to retrieve or manipulate data. For example, a user may query an API to get information about a product, a service, or a location.

Data minimization is the principle of collecting, processing, and storing only the minimum amount of data that are necessary for a specific purpose. Data minimization can help to reduce the risk of exposing data through API queries by limiting the amount and type of data that are available oraccessible through the API. Data minimization can also help to protect the privacy and security of the data subjects and the data providers, as well as to comply with the relevant laws and regulations.

Some of the benefits of data minimization for API design are:

Privacy: Data minimization can enhance the privacy of the data subjects by ensuring that only the data that are relevant and essential for the API purpose are collected and processed. This can prevent unnecessary or excessive collection or disclosure of personal or sensitive data, such as names, addresses, phone numbers, email addresses, etc. Data minimization can also help to comply with the privacy laws and regulations that require data protection by design and by default, such as GDPR (General Data Protection Regulation) or CCPA (California Consumer Privacy Act).

Security: Data minimization can improve the security of the data providers by reducing the attack surface and the potential damage of a data breach. If less data are stored or transmitted through the API, there are fewer opportunities for attackers to access or compromise the data. Data minimization can also help to implement security controls such as encryption, access control, or logging more efficiently and effectively.

Performance: Data minimization can increase the performance of the API by optimizing the use of resources and bandwidth. If less data are stored or transmitted through the API, there are less storage space and network traffic required. Data minimization can also help to improve the speed and reliability of the API responses.

Some of the techniques for data minimization in API design are:

Define clear and specific purposes for the API and document them in the API specification or documentation.

Identify and classify the data that are needed for each purpose and assign them appropriate labels or levels, such as public, internal, confidential, or restricted.

Implement filters or parameters in the API queries that allow users or applications to specify or limit the data fields or attributes they want to retrieve or manipulate.

Use pagination or throttling in the API responses that limit the number or size of data items returned per request.

Use anonymization or pseudonymization techniques that remove or replace any identifying information from the data before sending them through the API.

Some examples of web resources that discuss data minimization in API design are:

Data Minimization in Web APIs - World Wide Web Consortium (W3C)

Adding Privacy by Design in Secure Application Development

Chung-ju/Data-Minimization: A repository of related papers. - GitHub

The most useful information regarding an organization’s risk appetite and tolerance is provided by its risk profile, as this is a document that summarizes the key risks that the organization faces, the potential impacts and likelihoods of those risks, and the acceptable levels of risk exposure for different objectives and activities. A gap analysis is a tool that compares the current state and the desired state of a process or a system, and identifies the gaps that need to be addressed. Audit reports are documentsthat present the findings, conclusions, and recommendations of an audit engagement. A risk register is a tool that records and tracks the identified risks, their causes, their consequences,and their mitigation actions. References: CISA Review Manual (Digital Version), Chapter 2: Governance and Management of IT, Section 2.1: IT Governance

The best way to determine whether unauthorized changes have been made to production programs is to use source code comparison software to compare the current version of the programs with the previous version or the approved version. This will identify any changes that have been made without proper authorization or documentation. Tracing PCRs to logs or vice versa will only verify that the authorized changes have been recorded, but not detect any unauthorized changes. References: Standards, Guidelines, Tools and Techniques - ISACA, section “IS Audit and Assurance Tools and Techniques”