|
1 |
| -Organizations must first understand what data they have and how sensitive it is before they can effectively protect it. A structured approach to data classification and protection helps reduce security risks, prevent data loss, and ensure compliance with regulatory requirements. |
| 1 | +Before organizations can effectively protect their data, they need to identify what data they have and assess its sensitivity. A structured approach to data classification and protection helps reduce security risks, prevent data loss, and ensure compliance with regulatory requirements. |
2 | 2 |
|
3 | 3 | ## Why data classification and protection matter
|
4 | 4 |
|
5 |
| -As data volumes grow, organizations face increased risks of accidental exposure, unauthorized access, and regulatory non-compliance. Without clear policies for identifying, labeling, and securing sensitive data, it becomes difficult to apply consistent security controls. |
| 5 | +As data volumes grow, organizations face increased risks of accidental exposure, unauthorized access, and regulatory noncompliance. Without clear policies for identifying, labeling, and securing sensitive data, it becomes difficult to apply consistent security controls. |
6 | 6 |
|
7 | 7 | A strong data protection strategy includes:
|
8 | 8 |
|
9 | 9 | - **Data classification** to categorize information based on sensitivity.
|
10 |
| -Sensitivity labels to define and enforce handling rules. |
11 |
| -Encryption to protect data from unauthorized access. |
12 |
| -Data loss prevention (DLP) and retention policies to ensure compliance and prevent accidental leaks. |
| 10 | +- **Sensitivity labels** to define and enforce handling rules. |
| 11 | +- **Encryption** to protect data from unauthorized access. |
| 12 | +- **Data loss prevention (DLP) and retention policies** to ensure compliance and prevent accidental leaks. |
| 13 | + |
13 | 14 | These capabilities help organizations secure sensitive data while ensuring users can work efficiently.
|
14 | 15 |
|
15 |
| -Key components of data classification and protection |
16 |
| -Data classification |
| 16 | +## Components of data classification and protection |
| 17 | + |
| 18 | +### Data classification |
| 19 | + |
17 | 20 | Data classification helps organizations identify and categorize sensitive information. By labeling data based on content, context, and usage, organizations can apply security controls more effectively.
|
18 | 21 |
|
19 | 22 | Microsoft Purview provides built-in classification capabilities, including sensitive information types and trainable classifiers, to help automate classification across cloud, endpoint, and collaboration environments.
|
20 | 23 |
|
21 |
| -Sensitivity labels |
22 |
| -Sensitivity labels define how data should be handled, enforcing policies for encryption, access control, and visual markings. These labels ensure that data remains protected across emails, files, and cloud services, regardless of where it is shared. |
| 24 | +### Sensitivity labels |
| 25 | + |
| 26 | +Sensitivity labels define how data should be handled, enforcing policies for encryption, access control, and visual markings. These labels ensure that data remains protected across emails, files, and cloud services, regardless of where it's shared. |
23 | 27 |
|
24 | 28 | Microsoft Purview Sensitivity Labels allow organizations to:
|
25 | 29 |
|
26 |
| -Apply automatic or manual labels based on content and policies. |
27 |
| -Restrict file sharing and enforce access controls. |
28 |
| -Add visual markings such as headers, footers, and watermarks. |
29 |
| -Encryption |
| 30 | +- Apply **automatic** or **manual** labels based on content and policies. |
| 31 | +- Restrict file sharing and enforce **access controls**. |
| 32 | +- Add **visual markings** such as headers, footers, and watermarks. |
| 33 | + |
| 34 | +### Encryption |
| 35 | + |
30 | 36 | Encryption secures data by converting it into an unreadable format, ensuring that only authorized users can access it. It protects information at rest, in transit, and in use to prevent unauthorized exposure.
|
31 | 37 |
|
32 | 38 | Microsoft Purview encryption policies support:
|
33 | 39 |
|
34 |
| -Microsoft 365 apps, ensuring emails and files are protected. |
35 |
| -Automatic encryption for highly sensitive content. |
36 |
| -Integration with Azure Information Protection for broader security coverage. |
37 |
| -Data loss prevention (DLP) and retention policies |
| 40 | +- **Microsoft 365 apps**, enabling encryption for emails and files.. |
| 41 | +- **Automatic encryption** for highly sensitive content. |
| 42 | +- **Microsoft Purview Information Protection scanner** for discovering and classifying sensitive data across on-premises locations. |
| 43 | + |
| 44 | +### Data loss prevention (DLP) and retention policies |
| 45 | + |
38 | 46 | DLP policies help organizations prevent accidental data leaks by monitoring and restricting data movement based on sensitivity. Retention policies ensure that critical business information is preserved for compliance purposes.
|
39 | 47 |
|
40 | 48 | With Microsoft Purview DLP and retention policies, organizations can:
|
41 | 49 |
|
42 |
| -Detect and block unauthorized data sharing across cloud and endpoint environments. |
43 |
| -Enforce automatic retention or deletion of data based on compliance requirements. |
44 |
| -Monitor and analyze policy violations to improve security strategies. |
45 |
| -Balancing security and productivity |
46 |
| -Effective data protection shouldn't hinder productivity. Security measures must be seamlessly integrated into daily workflows to ensure adoption without disrupting collaboration. |
| 50 | +- Detect and block unauthorized data sharing across cloud and endpoint environments. |
| 51 | +- Enforce automatic retention or deletion of data based on compliance requirements. |
| 52 | +- Monitor and analyze policy violations to improve security strategies. |
47 | 53 |
|
48 |
| -Automated labeling reduces the burden on users. |
49 |
| -Policy-based protection ensures security without requiring manual intervention. |
50 |
| -User-friendly security prompts help guide employees in handling sensitive data responsibly. |
51 |
| -By implementing a structured approach to data classification and protection, organizations can reduce security risks while enabling secure and efficient collaboration. |
| 54 | +## Balancing security and productivity |
52 | 55 |
|
| 56 | +Data protection should support, not disrupt, daily operations. Security measures must be seamlessly integrated into daily workflows to ensure adoption without disrupting collaboration. |
| 57 | + |
| 58 | +- **Automated labeling** reduces the burden on users. |
| 59 | +- **Policy-based protection** ensures security without requiring manual intervention. |
| 60 | +- **User-friendly security prompts** help guide employees in handling sensitive data responsibly. |
| 61 | + |
| 62 | +By implementing a structured approach to data classification and protection, organizations can reduce security risks while enabling secure and efficient collaboration. |
0 commit comments