Knowledge Management · · 2 min read

Data Loss Prevention Best Practices

Data Loss Prevention (DLP) is more critical than ever — but it doesn’t have to be complex. Here are five updated best practices for 2025 to help your team protect sensitive data without slowing down.

Data Loss Prevention Best Practices
Photo by Markus Spiske / Unsplash

This article was originally published on June 14, 2017 and was updated in May 2025 by Abby Clobridge.

In an era of hybrid work, cloud everything, and increasingly targeted threats, Data Loss Prevention (DLP) isn’t just an IT concern — it’s a mission-critical priority.

Whether you’re safeguarding sensitive stakeholder data, internal knowledge, or operational files, the goal is the same: prevent accidental or unauthorized leaks without slowing your team down.

Here are five DLP best practices we recommend:


1. Classify Your Data First

Before protecting data, you need to know what you’re working with. Identify:

Use labels or tags to make these distinctions clear in your systems — especially across Microsoft 365 or Google Workspace.


2. Enable Built-In Platform Protections

Most cloud platforms now offer robust, native DLP tools. Start by:

These guardrails work best when paired with clear internal guidance.


3. Train People, Not Just Systems

The biggest risks aren’t always technical — they’re human. Make sure staff understand:

Ongoing, realistic training beats once-a-year slide decks every time.


4. Audit What’s Actually Happening

Use built-in logs to review:

DLP isn’t “set it and forget it” — it’s an ongoing governance effort.


5. Plan for Incidents Before They Happen

Have a DLP incident response plan that includes:

Being prepared reduces panic — and speeds up recovery.


Final Thoughts

DLP is no longer optional — but it doesn’t have to be overwhelming. With the right policies, platform settings, and team awareness, you can protect what matters most while staying focused on your mission.

At FireOak, we help purpose-driven organizations design data governance models that actually work — smart, secure, and sustainable.

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