2. What Is Sensitive Data?
◦ Sensitive data is data that must be protected against unwanted disclosure. Access to sensitive
data should be safeguarded. Protection of sensitive data may be required for legal or ethical
reasons, for issues pertaining to personal privacy, or for proprietary considerations.
3. Types Of Sensitive Data
When we say that data is sensitive, then its sensitivity must have levels.
Sensitive data can be classified into four types:
Low data sensitivity type/ public classification
Moderate data sensitivity type or internal classification
High data sensitivity type or confidential classification
Restricted type of sensitive data
4. Measurement OF DATA SENSITIVITY
There are 3 benchmarks that has to be followed in terms of checking the sensitivity of the data
are okay or not. The key points are given below:
Confidentiality: This part is tied in with preventing unapproved admittance to Sensitive data without
restricting said data for individuals who need to approach it.
Integrity: It is about long-term data consistency and accuracy over a specific period in time.
Availability: It focuses solely on sensitive data being available when needed.
5. Sensitive data that hackers would look for
If hackers were to gain access to your system in some way, they would like to see these
properties:
Industry-specific information
Inventory/operational info
Trade secrets/Intellectual property.
Customer information.
Data of your employees.
6. How to Protect Sensitive Data
◦ There are 3 key steps to protect data, The steps are given below:
Identify all sensitive data: The first step is to identify and group all the data based on their
sensitivity.
Promptly respond to, and assess data risks: Sensitive data is always targeted by cybercriminals and
when we might have identified such sensitive data, we must assess the risk. Risks such as the liability
cost of the sensitive data, location of these data etc.
Monitor and implement adequate security measures: This process follows the previously listed
steps. This step involves creating viable security measures to safeguard against theft of sensitive data.
7. Conclusion
As data privacy is becoming increasingly vital in the world, many customers/clients would only
transact and build long-lasting business relationships with organizations that can guarantee the
safety of their data – Especially their sensitive data. Achieving a strong business relationship in
regards to this calls for the application of strong data security measures in order to protect
sensitive data, and prevent its exposure.