IIA Updated IIA-CIA-Part3 Exam Questions and Answers by evie-mae

Cybersecurity is primarily focused on protecting information assets by preventing unauthorized access, data breaches, cyberattacks, and other security threats. The confidentiality, integrity, and availability (CIA) triad is the foundation of cybersecurity, with access control playing a key role in mitigating risks.

(A) Incorrect – To protect the effective performance of IT general and application controls.

While cybersecurity supports IT controls, its primary goal is information security, not just control performance.

(B) Incorrect – To regulate users' behavior in the web and cloud environment.

Cybersecurity includes user behavior policies, but its primary goal is preventing unauthorized access rather than regulation.

(C) Correct – To prevent unauthorized access to information assets.

The core objective of cybersecurity is to prevent unauthorized access, protecting data from cyber threats.

This aligns with the CIA (Confidentiality, Integrity, Availability) security model.

(D) Incorrect – To secure application of protocols and authorization routines.

Protocols and authorization routines are part of cybersecurity controls, but they are not the primary objective.

IIA’s GTAG (Global Technology Audit Guide) – Cybersecurity Risks and Controls

Defines cybersecurity as the protection of information assets from unauthorized access and threats.

NIST Cybersecurity Framework – Access Control and Information Security

Focuses on preventing unauthorized access to sensitive systems.

COBIT Framework – IT Governance and Security

Emphasizes the protection of data and IT assets through cybersecurity measures.

Analysis of Answer Choices:IIA References and Internal Auditing Standards:

Role of a Witness in Contract Signing:

A witness is a neutral third party who observes the signing of a contract and confirms that the named individuals actually signed the document.

This helps prevent disputes regarding the authenticity of signatures and provides legal proof of agreement.

Why Signature Validation is the Primary Role:

Ensures legitimacy: A witness confirms that the signatures belong to the stated individuals, preventing forgery.

Legal enforceability: Many jurisdictions require witnesses for contracts to be legally binding in certain cases (e.g., wills, real estate agreements).

Provides evidence in case of disputes: If a signatory later denies signing, the witness can testify to the authenticity of the signature.

Why Other Options Are Incorrect:

A. A witness verifies the quantities of the copies signed – Incorrect.

A witness does not count copies; their role is to verify authentic signatures.

B. A witness verifies that the contract was signed with the free consent of the promisor and promisee – Incorrect.

While witnessing may imply that parties were present, it does not guarantee free consent (coercion concerns require separate legal evidence).

C. A witness ensures the completeness of the contract between the promisor and promisee – Incorrect.

Contract completeness is a legal or managerial responsibility, not a witness’s role.

IIA’s Perspective on Contract Verification and Internal Controls:

IIA Standard 2120 – Risk Management requires internal auditors to ensure proper contract validation and documentation.

COSO Internal Control Framework highlights the importance of contract controls, including witnessed signings for fraud prevention.

International Contract Law Principles emphasize the role of witnesses in reducing contract disputes.

IIA References:

IIA Standard 2120 – Risk Management in Contract Management

COSO Internal Control Framework – Legal Documentation and Witnessing

International Contract Law Principles – Witnessing Signatures for Legal Validity

Thus, the correct and verified answer is D. A witness validates that the signatures on the contract were signed by the promisor and promisee.

A preventive control is designed to stop security breaches before they happen. In data center security, preventing unauthorized physical access is crucial.

Prevents Unauthorized Entry – Restricts access only to authorized personnel.

Tracks and Logs Access – Records who enters and exits the data center, enhancing security monitoring.

Enhances Security Layers – Often combined with biometric authentication or PINs for stronger access control.

Meets IT Security Standards – Aligns with ISO 27001, NIST, and IIA’s GTAG recommendations on physical security.

A. Motion detectors – These are detective controls, identifying movement but not preventing unauthorized access.

C. Security cameras – Also detective, as they record events but do not prevent physical breaches.

D. Monitoring access to data center workstations – This ensures data integrity but does not prevent physical access.

IIA’s GTAG (Global Technology Audit Guide) on Information Security – Recommends strong physical access controls like key cards.

NIST SP 800-53 (Security and Privacy Controls for Federal Information Systems) – Emphasizes access control as a preventive security measure.

ISO 27001 Annex A.11 (Physical and Environmental Security) – Requires access control for secure areas, including data centers.

Why Key Card Access is the Best Preventive Control?Why Not the Other Options?IIA References:

To assess the success of a piloted data analytics model in identifying anomalies in vendor payments and potential fraud, the most appropriate criterion is the accuracy of the model in identifying true positives—cases flagged as anomalies that were later confirmed as valid fraud risks.

Effectiveness of the Model: The primary goal of the model is to enhance the internal audit activity’s ability to detect fraudulent transactions. The best way to measure success is to analyze how many flagged transactions were confirmed as fraudulent or erroneous.

Reduction of False Positives and False Negatives: A model that generates too many false positives (incorrectly flagged transactions) can lead to inefficiencies, while too many false negatives (missed fraudulent cases) can reduce the effectiveness of fraud detection.

Alignment with Internal Audit Standards: According to IIA Standard 1220 - Due Professional Care, internal auditors must apply appropriate tools and techniques (such as data analytics) to enhance audit effectiveness. The model's success should be assessed based on its ability to provide reliable, actionable insights.

IIA Practice Guide on Data Analytics: Recommends assessing the predictive accuracy of models by comparing flagged transactions against actual outcomes.

B. The development and maintenance costs associated with the model (Incorrect)

While cost is a consideration, it does not directly assess the effectiveness of the model in detecting fraud.

High costs may indicate inefficiency, but they do not determine whether the model is accurately identifying fraudulent transactions.

IIA Standard 2100 - Nature of Work emphasizes that internal audit activities must contribute to the improvement of governance, risk management, and control, which requires a focus on results rather than just cost.

C. The feedback of auditors involved with developing the model (Incorrect)

Feedback is useful but subjective. The ultimate test of success is not auditor perception but whether the model correctly identifies fraudulent or anomalous transactions.

IIA Practice Guide: Auditing Data Analytics suggests that while stakeholder feedback is valuable, empirical validation (accuracy of flagged cases) should be the primary success measure.

D. The number of criminal investigations initiated based on the outcomes of the model (Incorrect)

While fraud detection can lead to investigations, the number of investigations is not necessarily an accurate measure of model success.

Some flagged cases may not lead to criminal investigations due to materiality, lack of sufficient evidence, or management decisions.

According to IIA Standard 2120 - Risk Management, internal auditors must evaluate fraud risk management effectiveness, which includes detecting and preventing fraud, not just the legal consequences.

Explanation of Answer Choice A (Correct Answer):Explanation of Incorrect Answers:Conclusion:The best success criterion for the piloted data analytics model is the percentage of cases flagged by the model and confirmed as positives (Option A), as it directly measures the model's effectiveness in detecting actual fraud cases.

IIA References:

IIA Standard 1220 - Due Professional Care

IIA Standard 2100 - Nature of Work

IIA Standard 2120 - Risk Management

IIA Practice Guide: Auditing Data Analytics