$4.35 million. That's the average total cost of a data-exposing cybersecurity incident, according to the Ponemon Institute's "Cost of a Data Breach Report 2022." That's an all-time high, up 12.7% from 2020.

Between the potential loss of trade secrets, reputational harm, and regulatory fines related to data privacy, data breaches can threaten an organization's very existence. And if you don't take proactive measures to prevent them, the circumstances that led to one breach can easily result in another. Eighty-three percent of breached organizations report having suffered more than one such event.

Data loss prevention, or DLP, refers to a category of cybersecurity solutions that are specifically designed to detect and prevent data breaches, leaks, and destruction. These solutions do so by applying a combination of data flow controls and content analysis. And in today's cyber-threat landscape, DLP has become a basic business need.

The Three States of Data and How DLP Protects Them

There are three main states in which data can reside within an organization:

Of course, most sensitive data will change between these states frequently — in some cases, almost continuously — though there are use cases where data may remain in a single state for its entire life cycle at an endpoint.

Similarly, there are three primary "functional" DLP types, each dedicated to protecting one of these states of data. Here are just some examples of how this can work:

Not all potential sources of a data breach are nefarious — they're often the result of good old-fashioned human error. Still, the impact is just as real whether sensitive information is intentionally stolen or simply misplaced.

DLP Architecture Types

DLP solutions can be categorized based on their architectural design:

It's important to note that due to the nature of their architecture, network DLP solutions cannot effectively safeguard data in use: It remains vulnerable to purely local activities, like unauthorized printing and screen capturing.

Adopting DLP Is More Important Than Ever

The benefits of a strong DLP program are clear. By taking proactive steps to slash the risk of data loss and leakage, organizations can achieve some powerful benefits:

Larger enterprises may choose to adopt on-premises DLP solutions — and for some, this may be the right choice. But setting up a successful DLP program is complex and resource-intensive, and it requires fine-tuning over an extended period of time. Businesses will also need to bring aboard specialized experts with relevant experience. Those without such a team already in place will likely find it more efficient to work with a managed service provider (MSP) for their DLP needs.

In turn, MSPs are turning to partners to help them build out these Advanced DLP offerings to help prevent data leakage from clients' workloads.

Whether you manage your DLP in-house or turn to a vendor to help, it is a critical part of a modern, and future, security stack.

About the Author

Iliyan Gerov is a Senior Product Marketing Specialist at Acronis.