What Is Data Loss Prevention (DLP) and How It Can Save Your Business

18/08/2023by admin0Read: 5 minutes

Organisations are adopting DLP owing to insider threats and rigorous data privacy laws, having stringent data protection or data access requirements.

In addition to monitoring and controlling endpoint activities, some DLP tools can also be used to filter data streams on the corporate network and protect data in motion.

In this blog, we will cover all the information you require regarding data loss protection. We’ll provide you with the information and skills you need to keep your data safe and secure, from defining the idea and underlining its importance to examining the newest techniques and technologies.

Data Loss Prevention (DLP)

Data loss prevention (DLP) refers to software tools that assist a network administrator in managing the data that users may send. It prevents users from sending sensitive or important information outside the company network.

DLP products categorise and safeguard sensitive information using business rules so that unauthorised users cannot unintentionally or deliberately share data, endangering the enterprise. Employees would be refused access, for instance, if they attempted to forward a work email outside of the company domain or upload a work file to a personal cloud storage service.

Data Loss and its Impact on Businesses

The unintended or accidental destruction, corruption, theft, or manipulation of confidential and priceless information is referred to as data loss. Various factors, such as faulty technology or software, human mistakes, criminal activity, natural catastrophes, and others, might cause this.

Data loss may have a significant and far-reaching effect on organisations. It may lead to financial losses, reputational harm, legal repercussions, a decline in consumer trust, and lower productivity. The loss of important data can cause operations to be disrupted, decision-making to be hampered, and even corporate collapse.

Importance of Data Protection and Information Security

Data protection and information security procedures are essential since data loss may have serious effects on enterprises. Strong techniques guarantee that sensitive data is safely backed up and preserved, enabling recovery and restoration without interfering with business activities. Data integrity and confidentiality are maintained by information security mechanisms such as robust encryption, user authentication, and access control. An efficient structure limits access to sensitive data to those who are authorised, lowering the possibility of breaches and possible data loss.

Role of Personally Identifiable information (PII)

Personally identifiable information (PII) can aid in data loss prevention by serving as a focal point for identifying and safeguarding sensitive data. Through PII classification and tracking, organizations can implement targeted security measures, access controls, and encryption to protect this valuable information. Additionally, monitoring PII can help detect and mitigate potential breaches or unauthorized access, enhancing overall data security.

Best Practices for Successful DLP Deployment

Here are the best practices to initiate a successful DLP deployment:

  • Prioritise Data

Not all information is equally important. Each company defines vital data differently. Choosing which data would result in the most damage if it were taken is the first step. The most important or sensitive data that is most likely to be targeted by attackers should be the first target for DLP.

  • Classify Data

Classifying data by context is an easy, scalable method. This involves connecting a categorisation to the data storage, source application, or user who originally produced the data. Organisations can monitor the usage of the data by applying persistent categorisation tags to it. Examining the content is also beneficial. It looks through the data to find regular phrases like Social Security and credit card numbers, as well as keywords (for instance, “confidential”). PCI, PII, and other standards’ pre-configured rules are frequently included with content inspection software.

  • Understand When Data is at Risk

Data distribution to user devices or sharing with partners, clients, and the supply chain are both subject to various dangers. In these situations, the data is frequently most vulnerable while it is being used on endpoints. Data can be moved to a removable storage device or attached to an email, for instance. Data mobility and data risk situations need to be taken into consideration by a strong DLP programme.

  • Monitor Data in Motion

Understanding how data is utilised and identifying behaviours that endanger data are crucial. To obtain insight into what is happening to their sensitive data and to gauge the scale of the problems that their DLP strategy should address, organisations must monitor data in motion.

  • Communicate and Develop Controls

The next step is to collaborate with business line managers to identify the cause of this and develop measures to lower data risk. Data usage controls may be straightforward at first when a DLP programme is implemented. Controls can be used to prevent activities that are frequent but that most line managers would agree pose a danger. Organisations may create more granular, fine-tuned controls to lower certain risks as the DLP program evolves.

  • Train and Guide Employees

User training can lower the danger of unintentional insider data loss once an organisation is aware of when data is transferred. When employees are trained, they will perform better since they frequently are unaware that their activities might cause data loss.

Advanced DLP solutions include user prompting to alert staff to data use that could go against the corporate policy or pose a danger. In addition to safeguards that outright prevent dangerous data activities, there are also these.

  • Rollout

To provide more precise data controls, some businesses will repeat these procedures with a larger data collection or increase data identification and categorisation. DLP is easier to use and administer by first concentrating on protecting a portion of the most important data. Options for the program’s expansion will be presented by a successful pilot programme. With little impact on corporate operations, a greater proportion of sensitive information will be included over time.

  • Use of Artificial Intelligence and Automation

Data loss prevention is being revolutionised by artificial intelligence and automation, which offer proactive and in-the-moment insights on possible security breaches. These technologies may quickly identify abnormalities, stop data breaches, and protect sensitive information via the use of sophisticated algorithms, thereby increasing data security in contemporary organisations.

How Can Data Loss Prevention (DLP) Save Your Business?

  • Security:

Secure your organisation’s sensitive data against unauthorised access and potential breaches by implementing a thorough DLP policy. DLP keeps your most important assets secure by limiting access to particular information based on established criteria and making sure that only authorised workers have the required rights.

  • Regulatory Compliance:

Businesses should abide by these rules in order to avoid costly penalties and other legal problems in light of the proliferation of data privacy legislation like GDPR, HIPAA, and others.

A powerful DLP solution assists you in maintaining compliance by keeping track of data movements inside your business and ensuring that sensitive data is secured as required by applicable laws.

  • Reputation Management:

The reputation of a corporation may suffer significantly due to a data breach. Customers expect companies to handle their private information, therefore any leak might result in a loss of reputation and patron trust. By reducing the likelihood of a breach, a successful DLP strategy may help your company keep its stellar reputation.

  • Preventing Insider Threats:

It is a widespread misperception that foreign attackers are the only ones responsible for data breaches. The truth is that insider threats, whether intentional or unintentional, represent a serious danger to the data of your company. The danger of insider threats is reduced due to DLP’s assistance in monitoring and controlling user behaviour by highlighting user actions that differ from the norm.

  • Cost Savings:

A data breach may have a huge financial impact, costing money in lost sales, legal bills, and regulatory fines. Businesses may proactively prevent these costs and make long-term financial savings by investing in a reliable DLP solution.

Thus, data loss prevention is not only a luxury for large firms but also a must for businesses of all sizes.


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