Data Classification
Introducing : Sensitivity Classification
Start
You need to accurately classify your data, so that you can determine the appropriate protection to safeguarding data.
Recall...
Sensitive Normal
Examples include...
- Name, Class, School, etc
- Financial info (e.g. FAS)
- Attendance
- Exam Results
- NRIC Number
Sensitive High
Examples include...
- Counselling Notes
- Offence Notes
- Staff Appraisal
- Case info of victims of sexual assault
NON-Sensitive
Examples include...
- Publicly available info such as
- photos on social media
- business contact details
Correct Classification of Data
• Under-classifying data will result in under-protection, exposing important data to risks and threats.
• Over-classifying data will result in over-protection, causing unncessary friction in your daily work and your agency’s operations due to additional processes required (e.g. password protecting the data etc).
Data Classification - Sensitivity
Sook Min Cindy Hou
Created on July 4, 2023
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Transcript
Data Classification
Introducing : Sensitivity Classification
Start
You need to accurately classify your data, so that you can determine the appropriate protection to safeguarding data.
Recall...
Sensitive Normal
Examples include...
Sensitive High
Examples include...
NON-Sensitive
Examples include...
Correct Classification of Data
• Under-classifying data will result in under-protection, exposing important data to risks and threats. • Over-classifying data will result in over-protection, causing unncessary friction in your daily work and your agency’s operations due to additional processes required (e.g. password protecting the data etc).