IIA Updated IIA-CIA-Part3 Exam Questions and Answers by aliya

The discussion between the internal auditor and the database administrator is most likely centered around the security risk present in the period between account creation and password change. When a system generates a default password such as "123456," it introduces a temporary vulnerability until the user changes it.

Understanding Default Password Security Risks:

Default passwords, especially predictable ones (e.g., "123456"), pose a security threat because they are easy to guess.

If an unauthorized user gains access before the legitimate user changes the password, data confidentiality and integrity may be compromised (IIA GTAG - Global Technology Audit Guide).

Evaluating the Window of Exposure:

The primary concern is the time between account creation and password reset.

During this time, an attacker could exploit the default password to gain unauthorized access to sensitive systems.

Why Other Options Are Less Relevant:

Option A (Replacing numbers with characters) – While this improves security, it does not directly address the risk of an attacker exploiting the default password before the user resets it.

Option B (Users continuing to use the initial password) – This is a security issue, but it is mitigated by requiring a password reset upon first login. The primary concern is the time before the reset happens.

Option D (User training on password management) – While training is crucial for long-term security, it does not directly address the immediate vulnerability of default passwords before they are changed.

IIA Global Technology Audit Guide (GTAG) 16: Data Management and Security

IIA Standard 2110 – Governance: Recommends addressing IT security risks, including credential management.

IIA Practice Advisory 2130.A1-1: Internal auditors should assess whether management has identified, assessed, and mitigated IT security risks, such as weak authentication practices.

Step-by-Step Analysis:Relevant IIA References:

Information access management is the component of an organization’s cybersecurity risk assessment framework that allows management to implement user controls based on a user’s role. This principle, often referred to as Role-Based Access Control (RBAC), ensures that individuals have access only to the data and systems necessary for their job responsibilities.

Definition of Role-Based Access Control (RBAC):

RBAC assigns permissions based on an individual's role within the organization.

For example, a finance employee may access financial records, but not HR data.

Minimization of Insider Threats:

By limiting access to sensitive data, information access management helps reduce the risk of fraud, data breaches, and unauthorized modifications.

Regulatory Compliance:

Many regulations (e.g., GDPR, SOX, HIPAA) require companies to implement access control measures to protect sensitive information.

Internal auditors assess whether access management policies are enforced properly.

Alignment with Cybersecurity Risk Frameworks:

NIST Cybersecurity Framework – Access Control (AC) Family: Establishes guidelines for restricting access based on user identity and role.

ISO/IEC 27001 – Information Security Management System (ISMS): Requires organizations to implement access control policies to protect data integrity.

A. Prompt response and remediation policy: Focuses on incident response rather than proactive access control.

B. Inventory of information assets: Important for tracking IT assets but does not define access privileges.

D. Standard security configurations: Enforce security settings but do not manage access based on user roles.

IIA GTAG (Global Technology Audit Guide) on Information Security: Recommends implementing access control policies to restrict unauthorized access.

IIA Standard 2110 – Governance: Emphasizes the importance of cybersecurity governance, including role-based access management.

COBIT Framework – DSS05.04 (Manage User Identity and Access): Defines best practices for controlling user access based on organizational roles.

Step-by-Step Justification:Why Not the Other Options?IIA References:

The auditor likely omitted the data normalization step, which is crucial when integrating multiple datasets from different sources (e.g., human resources (HR) and payroll). Without normalization, inconsistencies in formatting, naming conventions, or unique identifiers (e.g., employee ID vs. full name) can result in incorrect mismatches.

Standardization of Data Formats:

Employee names or IDs may be stored differently across systems (e.g., "John A. Doe" in HR vs. "Doe, John" in payroll).

Normalization ensures uniform formatting to enable accurate comparisons.

Removal of Duplicates & Inconsistencies:

Employee records could have multiple variations due to typos, abbreviations, or missing fields.

Proper cleaning and transformation of data ensures better accuracy.

Use of Unique Identifiers:

Instead of matching by name, the auditor should have used a unique identifier (e.g., Employee ID), which remains constant across systems.

A. Data analysis (Incorrect)

Reason: The auditor did attempt data analysis (matching employee records) but without proper preparation (normalization), the results were flawed.

B. Data diagnostics (Incorrect)

Reason: Data diagnostics refers to evaluating data quality issues, but it does not involve transforming data to a common format, which was the missing step.

C. Data velocity (Incorrect)

Reason: Data velocity relates to the speed at which data is processed, which is not relevant to the issue of incorrect matching.

IIA Global Technology Audit Guide (GTAG) 16: Data Analysis Technologies – Covers data quality, normalization, and audit data preparation.

IIA GTAG 3: Continuous Auditing – Discusses the importance of accurate data extraction and transformation.

IIA Standard 2320 – Analysis and Evaluation – Ensures appropriate data validation before concluding audit findings.

Why is Data Normalization Important?Analysis of Incorrect Answers:IIA References:Thus, the correct answer is D. Data normalization.

The chief audit executive (CAE) plays a crucial role in evaluating strategic decisions, including outsourcing IT functions. The most appropriate first step is to assess whether the proposal aligns with the organization's overall strategy and verify that the supporting information is reliable and complete before making further evaluations.

Strategic Alignment:

The CAE must first determine whether outsourcing supports the organization’s long-term objectives, risk tolerance, and business goals.

Reliability of Supporting Information:

Before evaluating costs, risks, or operational impacts, the CAE must ensure that management’s data and assumptions are accurate and complete.

IIA Standards on Governance and Risk Management:

IIA Standard 2110 - Governance requires auditors to evaluate decision-making processes, including outsourcing.

IIA Standard 2120 - Risk Management emphasizes assessing risks associated with major decisions like outsourcing.

B. Ascertain whether governance and approval processes are transparent, documented, and completed:

While governance is important, this step comes after verifying strategic alignment.

C. Perform a due diligence review or assess management’s review of provider operations:

Due diligence is a later step in outsourcing evaluation, not the first priority.

D. Identify key performance measures and data sources:

Key performance measures are useful for monitoring outsourcing after approval, but they do not determine initial alignment with strategy.

IIA Standard 2110 - Governance: Requires internal auditors to evaluate whether key decisions align with organizational objectives.

IIA Standard 2120 - Risk Management: Internal auditors must assess potential risks and verify the reliability of information used for decision-making.

COBIT Framework - IT Governance: Emphasizes strategic alignment of IT decisions, including outsourcing.

Key Reasons Why Option A is Correct:Why Other Options Are Incorrect:IIA References:Thus, the correct answer is A. Understand strategic context and evaluate whether supporting information is reliable and complete.