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What is data loss prevention (DLP)?

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การป้องกันการสูญหายของข้อมูล (DLP)

Data loss prevention (DLP) is a security framework designed to help organizations detect, monitor, and protect sensitive data from being inappropriately shared, unauthorized export, or exposed to untrusted environments.

DLP fundamentally combines technology, policy, and governance to protect data across hybrid environments—on-premises systems, cloud services, and endpoints. 

How does DLP work? 

To reduce the risk of data loss, DLP works as follows: 

  • Categorize important information
    Start by searching and labeling data according to defined rules or policies. 
  • Monitor activities
    Use AI, machine learning, and other detection techniques to monitor data movement. 
  • Use preventative measures
    Depending on the risk level, data may be encrypted, data export blocked, or access restricted. 
  • Manage and store data
    Help define the data lifecycle, such as retention, deletion, or archiving, to comply with regulations. 

Why is DLP important to your organization? 

  • Visibility and control of key data
    DLP helps organizations see what sensitive data they have, where it is, and who may be misusing it. 
  • Insider Risk Protection
    Reduce the sharing of incorrect or fraudulent information by employees. 
  • Support legal requirements
    Help organizations comply with standards such as HIPAA, GDPR. 
  • Automatic policy enforcement
    The system can encrypt or block data transmission without requiring human verification each time. 

 

Common threats that DLP helps protect against 

Threats 

Description 

Cyberattacks 

Unauthorized access, malware, or ransomware attempting to steal data 

Insider Risks 

Employees or contractors who intentionally or unintentionally leaked data 

Unintentional Exposure 

Sharing sensitive information incorrectly or without control 

Phishing 

Attackers trick victims into revealing sensitive information via email. 

 

Best practices for using DLP 

To use DLP effectively, organizations should: 

  • Start by searching for information
    Know what important information is in the system 
  • Establish clear policies
    Identify data classification, sharing, and protection 
  • Use in phases
    Start with a trial and then scale it up to cover the entire organization. 
  • Employee training
    Make sure everyone understands their role in protecting data. 
  • Use automation as much as possible
    Use AI, machine learning and anomaly detection to enhance protection. 

Microsoft Approach: Purview DLP 

Microsoft Purview DLP is an integrated solution that manages, monitors, and protects sensitive data through the Microsoft security framework. 

Support hybrid work environments by protecting data across devices, cloud apps, and on-premises systems, while providing robust data classification, encryption, and compliance capabilities for administrators. 

Conclusion 

Data loss prevention (DLP) is more than just a security measure, it's a core strategy for protecting sensitive data in modern organizations. By combining intelligence, policy, and governance, DLP helps organizations effectively maintain security, compliance, and control over their data.

Whether you're addressing internal risks, regulatory requirements, or simply need greater visibility into your data, deploying a robust DLP solution like Microsoft Purview is a key step towards truly elevating your organization's security. 

Interested in Microsoft products and services? Send us a message here.

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If you are interested in implementing a knowledge management system in your organization, contact SeedKM  for more information on enterprise knowledge management systems, or explore other products such as Jarviz  for online timekeeping, OPTIMISTIC  for workforce management. HRM-Payroll, Veracity  for digital document signing, and CloudAccount  for online accounting.

Read more articles about knowledge management systems and other management tools at Fusionsol Blog, IP Phone Blog, Chat Framework Blog, and OpenAI Blog.

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Frequently Asked Questions (FAQ)

Microsoft Copilot is an AI-powered assistant feature that helps you work within Microsoft 365 apps like Word, Excel, PowerPoint, Outlook, and Teams by summarizing, writing, analyzing, and organizing information.

Copilot currently supports Microsoft Word, Excel, PowerPoint, Outlook, Teams, OneNote, and others in the Microsoft 365 family.

An internet connection is required as Copilot works with cloud-based AI models to provide accurate and up-to-date results.

Users can type commands like “summarize report in one paragraph” or “write formal email response to client” and Copilot will generate the message accordingly.

Yes, Copilot is designed with security and privacy in mind. User data is never used to train AI models, and access rights are strictly controlled.

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