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How to Prevent Data Loss? Tips & Strategies

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In a recent study, IBM found that the average cost of a data breach in 2023 was a staggering $4.35 million. It depicts the significant financial risk associated with losing data. That’s why we say Data loss prevention is essential for businesses of all sizes. 

Putting in place strong Data Loss Prevention (DLP) strategies helps protect your company from losing important information. This protection can prevent financial losses, maintain your reputation, keep the customer’s trust, and ensure your organization complies with regulations.  

In today’s world where threats are common, it’s important to actively protect valuable information like customer data, employee files, financial records, and important ideas or creations.

Why is a Data Loss Prevention Strategy Crucial?

Earlier, we mentioned that data loss prevention (DLP) is very important in the digital world, where companies are always at risk from cyberattacks. Let’s look more closely at some ways these attacks can happen and lead to data loss: 

Need for Data Loss Prevention Infographic

Cyber Threats

Phishing scams, malware attacks, and zero-day exploits show how the threats online keep changing. These attacks can lead to data theft, so using good tools to protect data is important.

Insider Threats

Disgruntled employees, incompetence, and privilege abuse by insiders all offer substantial risks. DLP helps to mitigate these internal risks.

Cloud Misconfigurations

The increasing use of cloud computing has brought about new security issues. Accidental mistakes in settings can make important information accessible to people who shouldn’t have access.

Accidental Mishaps

Even unintentional actions like user deletion or unexpected hardware failures can result in critical data loss.  

As companies collect and store more information, the chance of losing data increases. A good system for preventing data loss lowers these chances and ensures that the company follows rules about privacy, such as GDPR and CCPA.

Building a Robust Data Loss Prevention Strategy

Data loss prevention (DLP) is like building a multi-layered security fortress around your company’s sensitive data.

Robust Data Loss Prevention Strategy Infographic

Here are some key data loss prevention best practices to consider:

Comprehensive Data Classification and Identification

The foundation of any effective DLP strategy is a detailed understanding of your data. This extends beyond merely identifying sensitive data types, such as customer PII or financial records. 

Here’s a deeper dive:  

  • Data Mapping: Create a thorough data map that shows where sensitive data is located throughout your network, including servers, cloud storage platforms, user devices, and applications. This detailed mapping enables you to adjust DLP policies and controls to specific locations and risks associated with certain data types. 
  • Data sensitivity levels: Create a data classification strategy with varying sensitivity levels (e.g., high, medium, low) based on the probable consequences of a breach. This helps to prioritize protection efforts by imposing DLP controls on the most important data assets.
  • Data Labeling: Consider using data labeling solutions to automatically tag sensitive data at the source. This simplifies data identification for DLP tools and allows users to handle sensitive information with care.

Ironclad Backups and Disaster Recovery Planning

A solid backup strategy with a disaster recovery plan is just as important as having a fireproof safe deposit box.  

  • Backup Frequency and Retention: Determine the proper backup frequency for your sensitive data, considering data volatility and regulatory constraints. Implement a data retention strategy to ensure backups are safely stored for the specified time.  
  • Backup Verification and Testing: Check the integrity of your backups on a regular basis and do test restorations to ensure they are functioning and available if disaster hits.  
  • Disaster Recovery Plans: Have a full-fledged disaster recovery plan in place. It should include methods for restoring data and resuming operations in case of a cyberattack, hardware failure, or natural disaster.

Granular Access Controls with Continuous Monitoring

While limiting access to sensitive data is vital, DLP extends beyond basic access controls.  

  • Role-Based Access Control (RBAC): RBAC gives access based on an employee’s role and responsibilities. This ensures that individuals only have access to the data required for performing their tasks.    
  • Least Privilege Principle: Apply the concept of least privilege to each user. It allows each user only the access they need for their tasks. This reduces the possible damage if unauthorized access is acquired. 
  • User Activity Monitoring: Keep a check on user activities, most importantly when they are accessing or sharing important information. This helps you pick on unusual behavior and possible risks from people within the organization.

Data Encryption: In Motion, Rest, and Everywhere In Between

Data encryption is an additional layer of security at every stage of data, it’s like a steel door, with a combination lock and an alarm system that protects a vault filled with valuables.  

  • Encryption at Rest: The sensitive data stored in devices, like servers, laptops, and cloud storage systems is kept secured with encryption. Even if someone gets their hands on the device, the encrypted data remains locked away.  
  • Encryption in Transit: While data is moving across the network via emails or file transfers, it needs protection. Encryption of this data makes sure information isn’t intercepted while traveling from point A to point B.  
  • Data Loss Prevention via Encryption: DLP systems act when sensitive information tries to leave your network. These systems automatically encrypt the data, making it much more difficult for it to be taken without permission. 

User Education and Awareness Programs

Even the most secure system may be penetrated from the inside. That’s why a well-trained and vigilant team is essential for a successful DLP.  

  • Security Awareness Training: Implement ongoing security awareness training programs to educate employees on best practices for data protection, such as detecting phishing efforts, treating sensitive information responsibly, and reporting unusual activities.  
  • Social Engineering Techniques: Train employees to detect common social engineering tactics used by cybercriminals to get their hands on sensitive information.  
  • Phishing Simulations: Conduct regular phishing simulations to assess employee awareness and preparedness, assisting them in identifying and avoiding phishing attempts.

DLP Tools

Consider using a data loss prevention solution such as Fidelis Network® Data Loss Prevention. Such solutions serve as automated guards, constantly monitoring data movement across your network.  

  • Content Inspection: DLP solutions can scan the content of data flows to detect sensitive information being transmitted. This enables the real-time detection of suspected data breaches.  
  • Anomaly Detection: DLP tools can use advanced analytics to detect unusual data transfer patterns that could suggest suspicious activities, such as data exfiltration efforts.  
  • Integration with SIEM: Link your DLP system to a SIEM to get a consolidated view of security incidents across your network. This helps you connect data loss prevention alerts with other security events, giving you a fuller picture of possible threats.   
  • Automated Incident Response: Such tools to automatically perform actions when suspicious activity is detected. This could involve preventing unwanted data transfers, quarantining compromised devices, and alerting security personnel for further investigation. 
Master Data Security and Stop Breaches Now!

In this guide, you’ll discover how Fidelis Network® Data Loss Prevention provides:

Continuous Monitoring and Improvement

DLP is a continuous process rather than a one-time solution. Here’s how you can keep your defenses ahead of evolving threats:

  • Regular Policy Review and Updates: Data security rules and threat landscapes are continuously changing. Regularly examine and update your DLP policies to keep them effective and compliant.
  • DLP Solution Tuning and Optimization: Do a regular check on how well your DLP solution works and update the settings to better spot real issues and reduce on mistakes.
  • Penetration Testing and Vulnerability Assessment: Regular testing and assessments should take place to find vulnerabilities in your DLP strategies. This will help you identify and fix security issues before they can become a threat.

Fostering a Culture of Data Security

Data security is not only a technical issue; it’s a cultural imperative.

  • Executive Leadership Buy-in: Gaining support from top management is vital for the success of your DLP approach. Executive leadership needs to appreciate the importance of data security and allocate the appropriate resources.
  • Data Security Champions: Identify and empower data security champions in your organization. These people can raise data security awareness among their colleagues and encourage best practices.

Using these methods, a robust system to safeguard your company’s valuable data can be built. For effective protection, you should combine DLP with other security measures such as firewalls, intrusion detection systems, and endpoint security.

RegulationRegion / IndustryKey RequirementsDLP Strategy Considerations
GDPREuropean UnionEU citizens' personal data is protected; data minimization, consent, and breach reporting are mandated.To avoid fines, organizations must ensure compliance with GDPR standards by implementing DLP solutions.
CCPACalifornia, USACalifornia residents' personal data is protected; consumers have rights over their own data.DLP strategies need to meet the data protection rules of the CCPA to reduce risks.
HIPAAHealthcare Industry (USA)Safeguards Protected Health Information (PHI) against unauthorized access.Make sure that DLP solutions follow HIPAA rules, especially when it comes to protecting Personal Health Information (PHI).
PCI DSSPayment Card IndustryCardholder data is protected through strict access controls and encryption.DLP strategies should ensure that PCI DSS requirements are met, especially when it comes to encryption.

Conclusion

DLP is a constant process that involves continuous awareness and adaptation. By using the strategies mentioned and relying on effective DLP solutions like Fidelis Network® Data Loss Prevention, you can lower the chances of losing data and protecting your organization’s sensitive information.

Fidelis Security is committed to helping organizations avoid data loss and protect sensitive data. Contact us today! Get to know how Fidelis’s solutions can help make your network secure.

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Frequently Ask Questions

What are the most common causes of data loss in businesses?

The most common causes of data loss are as follows:

  • Cyberattacks
  • Internal threats
  • accidental deletions
  • Hardware failure
  • Errors in cloud configurations

What steps should be taken after a data loss incident?

If you face a data loss incident, the initial actions you should take are:

  • Isolate the affected systems
  • Restore data
  • Investigate the incident thoroughly, and
  • Inform the stake holders

What is the difference between data backup and data loss prevention?

Data backup means creating copies of your data so you can restore it in case you lose data due to any accident or cyberattack.

Whereas data loss prevention means preventing the loss of data in the first place. Basically, identifying and stopping the accidental or unauthorized sharing of important information.

About Author

Sarika Sharma

Sarika, a cybersecurity enthusiast, contributes insightful articles to Fidelis Security, guiding readers through the complexities of digital security with clarity and passion. Beyond her writing, she actively engages in the cybersecurity community, staying informed about emerging trends and technologies to empower individuals and organizations in safeguarding their digital assets.

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