The primary reason for an organization to classify the data stored on its internal networks is to implement data protection requirements1234. Data classification helps organizations understand what data they have, its characteristics, and what security and privacy requirements it needs to meet so that the necessary protections can be achieved3. While determining data retention policy56, complying with the organization's data policies27, and following industry best practices891011 are important aspects of data classification, they are secondary to the fundamental requirement of implementing data protection requirements.
References:
What Is Data Classification & Why Is It Important? - RiskOptics
Data Classification Policy: Definition, Examples, & Free Template - Hyperproof Data Classification Policy: Benefits, Examples, and Techniques - Satori What is a Data Classification Policy? - Digital Guardian Data Classification and Practices - NIST Data Classification as a Catalyst for Data Retention and Archiving ...
What is data classification? - Cloud Adoption Framework
Data Classification - Data Security Policies | ITS Policies ...
IMPLEMENTING DATA CLASSIFICATION PRACTICES - NIST
Best Practices for Data Classification | Forcepoint

If the audit team lacks the necessary knowledge to audit a system that uses an AI algorithm, engaging external consultants who have audit experience and knowledge of AI would be the best approach12. These consultants can provide the expertise needed to effectively audit the AI system12. This approach ensures that the audit is conducted thoroughly and accurately, without requiring the audit team to acquire new skills or knowledge12.
References:
Auditing Guidelines for Artificial Intelligence - ISACA
An In-Depth Guide To Audit AI Models - Censius

The most useful analytical method when trying to identify groups with similar behavior or characteristics in a large population is classification. Classification is a technique that assigns data points to predefined categories or classes based on their features or attributes. Classification can help to discover patterns, trends, and relationships among the data and reveal the similarities or differences among the groups. Classification can also help to support decision making, prediction, or recommendation based on the data analysis. References:
* CISA Review Manual (Digital Version), Chapter 3, Section 3.4.21
* CISA Online Review Course, Domain 2, Module 3, Lesson 12

An external assessment of network vulnerability is a process of identifying and evaluating the weaknesses and risks that affect the security and availability of a network from an outsider's perspective. The most important factor to verify during this process is the completeness of network asset inventory, which is a list of all the devices, systems, and software that are connected to or part of the network. A complete and accurate network asset inventory can help identify the scope and boundaries of the network, the potential attack vectors and entry points, the critical assets and dependencies, and the existing security controls and gaps. Without a complete network asset inventory, an external assessment of network vulnerability may miss some important assets or vulnerabilities, leading to inaccurate or incomplete results and recommendations.
References:
* 1 explains what is an external vulnerability scan and why it is important to have a complete network asset inventory.
* 2 provides a guide on how to conduct a full network vulnerability assessment and emphasizes the importance of knowing the network assets.
* 3 compares internal and external vulnerability scanning and highlights the need for a comprehensive network asset inventory for both types.