: Data Loss Prevention Definition | DLP Best Practices From Cdome

Data Loss Prevention Definition: Implementation Best Practices

Data loss prevention has risen as a data security need for organizations over the world. Worries over the need to readily control and ensure sensitive data have given rise to another set of solutions called data loss prevention tools.

Not all data loss is the consequence of malicious activities. In most cases, it’s the result of an innocent mistake. Somebody sends an email to the wrong recipient, neglects to encode a bit of information they’re transmitting, or puts sensitive documents on a flash drive and incidentally transfers it to an unprotected PC. Data loss is actively risky for the business and the clients. Data loss prevention, regardless of whether from mishaps or deliberate attacks, remains a top priority for modern organizations in a world where data can traverse the globe in seconds.

Data Loss Prevention Definition

Data loss prevention is still an innovation which isn’t yet adequately developed to deflect refined strategies of data theft. Implementation of a data loss prevention solution is a complex undertaking that requires critical preliminary activities including policy improvement, business process analysis, alongside detailed inventories and analysis of the kinds of data used by an organization.

Let’s look at some key best practices for data loss prevention tool implementation:

Data Loss Prevention Definition For Implementation 1: Data classification should be the cornerstone

Organizations are often unconscious of the types and locations of data they have. So prior to purchasing a data loss prevention solution, it’s vital to identify and classify delicate information types and their flow from system to system and to clients. Understanding the organization’s information life cycle will help reveal information vaults and transmission ways.

Classifications can include categories like private client or employee information, financial information, and intellectual property. Having a smart thought of information classifications and the location of the essential information stores proves helpful in the data loss prevention solution’s selection and position.

Extra data should be gathered by directing an inventory of all information departure points. This is because not all business processes are archived. Analysis of firewall and router rule sets can help these endeavors.

Data Loss Prevention Definition For Implementation 2: Policies first

When data have been found and classified, policies should be made or changed to define specific classifications and the proper treatment of every category. The policy should adopt a hazard-based strategy. This part of the data loss prevention implementation plan should incorporate the information categories that are focused on, the actions that will be made to address violations, the escalation processes, and any procedure required for exception requests. It is essential to also guarantee that suitable incident management processes exist and are functional for each of the categories of rules before the data loss prevention implementation goes live.

Data Loss Prevention Definition For Implementation 3: Execution of DLP

At first, organizations should consider implementing a data loss prevention in a monitoring mode. This will enable the system to be tuned and foresee the effects on business processes and the organizational culture. While the administration may have huge concerns with respect to the amount of sensitive information escaping once the system is activated, actual blocking can cause more prominent issues by breaking or obstructing critical business processes.

Data loss prevention solutions generally give many helpful data regarding the location and transmission ways of delicate data. However, an organization can get immediately alarmed at the volume and its sensitive information footprint and loss. This may lead it to surge forward to attempt to address all issues without delay as a major aspect of data loss prevention implementation, a formula for a fiasco.

As a feature of data loss prevention implementation, rules should keep on being looked into and streamlined. Enterprises should guarantee that all stakeholders are constant in revealing any new information formats or types that may not be represented in the current data loss prevention rule set.

Data Loss Prevention Definition For Implementation 4: Know about technology limitations

While data loss prevention solutions can enable organizations to increase more prominent knowledge and control of sensitive information, they also have current constraints that are important to understand.

For instance, data loss prevention solutions can just examine the encrypted data that they can they would first decrypt. If clients have access to personal encryption packages where keys are not overseen by the organization and provided to the data loss prevention solution, the files can't be investigated. Yet another caveat is that data loss prevention solutions cannot translate graphics files. Also, with the surge in mobile device use, there are invariably communications channels that data loss prevention solutions cannot easily monitor and control.