Sensitive data
Download as PPTX, PDF0 likes609 views
This document discusses sensitive data and how to protect it. It begins by defining sensitive data as information that must be safeguarded against unwanted disclosure due to legal, privacy or proprietary reasons. It then lists examples of sensitive data and outlines three key aspects to measuring data sensitivity: confidentiality, integrity and availability. Next, it describes the types of sensitive data hackers may target from organizations. Finally, it recommends three steps to protect sensitive data: identify all sensitive data, promptly respond to and assess risks, and monitor and implement adequate security measures. The conclusion emphasizes the importance of protecting sensitive data to build strong business relationships and trust.
Sensitive data
- 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.
- 8. THANK YOU