Most teams need six weeks to 12 months to migrate off legacy DLP. See the six phases, what slows them down, and how to cut over without a coverage gap.
October 1, 2026
Guides & Explainers
How to Build an Insider Threat Program in 2026
An insider threat program detects and stops data loss from inside your company. Here's how to build one in 2026: scope, roles, detection, and response.
September 17, 2026
Guides & Explainers
Data Leak Prevention: A Practical Playbook
Data leak prevention works by watching where sensitive data moves and weighing the intent behind each action. Here's a practical playbook for the AI era.
September 16, 2026
Get smarter about data loss in the AI era.
Research, analysis, and practical guidance on protecting enterprise data across the tools, apps, and workflows your business runs on.
Guides & Explainers
Endpoint DLP: Coverage, Limits, and the AI Blind Spot
Endpoint DLP protects data on laptops and desktops, but it can't see SaaS or AI tools. Here's what it covers, where it stops, and how to close the gap.
September 15, 2026
Guides & Explainers
Data at Rest vs. Data in Motion: Where Leaks Actually Happen
Data at rest, in motion, and in use each leak in different ways. Here's how the three states differ, and why data in use is the AI-era blind spot.
September 10, 2026
Guides & Explainers
Network DLP: What It Catches and What It Misses
Network DLP inspects traffic leaving your network, but encrypted sessions, SaaS, and AI tools now carry data it can't see. Here's what it catches and misses.
September 10, 2026
Guides & Explainers
Data Classification: A Step-by-Step Process
Data classification is easier to sustain as a repeatable process. Here's a step-by-step way to classify data by what it is and how it moves through your business.
September 4, 2026
Guides & Explainers
DSPM vs DLP: Do You Still Need Both?
DSPM finds where your sensitive data sits, while DLP stops it from leaving. Here's how the two compare, where they overlap, and whether you need both.
August 17, 2026
Guides & Explainers
How to Write an AI Acceptable Use Policy: What to Include
An AI acceptable use policy tells your team which AI tools they can use and what data they can put into them. Here's what to include and how to roll it out.
August 12, 2026
Guides & Explainers
How to Write a Data Classification Policy: Key Sections and Examples
A data classification policy sets how your company sorts data by sensitivity and how each level is handled. Here's what to include and how to write one.
August 11, 2026
Guides & Explainers
What Is Data Classification?
Data classification sorts data by sensitivity so you protect each type appropriately. Here are the 4 levels, methods, process, and the AI-era shift.
July 24, 2026
Guides & Explainers
Data Classification Levels Explained: The 4 Tiers
The 4 data classification levels explained tier by tier: public, internal, confidential, and restricted, plus 3/4/5-level models and which stay out of AI.
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