A cybersecurity analyst is participating with the DLP project team to classify the organization's data. Which of the following is the primary purpose for classifying data?
A.
To identify regulatory compliance requirements
B.
To facilitate the creation of DLP rules
C.
To prioritize IT expenses
D.
To establish the value of data to the organization
B. To facilitate the creation of DLP rules, is my sure response
Here's why:
The primary purpose of classifying data in a DLP (Data Loss Prevention) project involves categorizing the data based on its sensitivity and importance. This allows the DLP team to create specific rules that dictate how different types of data should be handled.
For example, highly sensitive data (like customer credit card information) might be subject to stricter DLP rules than publicly available data.
I did my research thoroughly and the answer is without a doubt D. Both for knowledge sake and common sense. This question is also on CISSP Practice questions as well where D is the only option that is the same (Comptia).
We can't create rules or look into regulations unless we know the crown jewels and other minor data.
1. Understand your sensitive data
2. Create rules to control and protect
3. Check to ensure regulatory compliance of what you've put place (best way to do this sometimes is an audit)
You can't do 1 and 2 without knowing the TYPE of data you have.
The primary reason for classifying data is to understand its value and sensitivity, which helps determine how to protect it and what resources should be allocated. Once the data's value and sensitivity are known, the organization can then address other considerations, such as regulatory compliance.
B. To facilitate the creation of DLP rules: While data classification does help in creating effective DLP rules, you first need to understand the value and sensitivity of the data to make appropriate rules. This is a secondary purpose.
Considering this is in the context of working with the DLP project team, the main reason they will classify data is to create DLP rules. This then allows them to ensure compliance and assign value to the data. But primary it is to create the ruleset, as the question states that it's for a DLP project.
Answer is B, value of data to the business doesn't correlate with DLP rules. A clients payment details have no inherent value to the business but have to be protected from disclosure with DLP rules.
D
The primary purpose of classifying data in the context of DLP is to help organizations identify, label, and protect sensitive information from unauthorized disclosure or leakage. DLP is a set of technologies and processes designed to prevent the unauthorized access, use, and transmission of sensitive data.
D. To establish the value of data to the organization
Classifying data helps an organization determine the importance and sensitivity of its data. This enables the organization to apply appropriate security measures, comply with regulatory requirements, and prioritize resources effectively based on the value and criticality of the data. While options A, B, and C are important aspects that can benefit from data classification, establishing the value of data is the foundational reason for the classification process.
Agree with Riccardo. Data classification ensure that users understand the value of data, and the classification help protect sensitive data. Darril Gibson 601, p.419.
I initially went with B however a quick Google later and it seems D is better answer.
Data classification tags data according to its type, sensitivity, and value to the organization if altered, stolen, or destroyed. It helps an organization understand the value of its data, determine whether the data is at risk, and implement controls to mitigate risks.
The correct answer is D. To establish the value of data to the organization.
Here’s why:
Data classification is the process an organization follows to develop an understanding of its information assets, assign a value to those assets, and determine the effort and cost required to properly secure the most critical of those information assets
To explain why I chose A, you classify data into the data types such as (PII, PHI, CHD) and those are protected by regulatory compliance requirements. You also classify data into top secret, secret, etc which are ALSO protected by regulatory requirements.
Data classification is integral to setting up DLP because it allows the organization to define what data needs protection and at what level. Once data is classified, DLP rules can be created to correspond to the different classifications, ensuring that each type of data is handled appropriately in terms of security measures and access controls. This ensures that sensitive data is monitored and protected in a way that is both efficient and effective.
According to chatgpt: A. To identify regulatory compliance requirements
The primary purpose of classifying data is to identify regulatory compliance requirements. Data classification helps organizations determine the sensitivity of their data and apply appropriate security controls based on regulatory requirements
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