DLP Strategy & Trends

The Newest Problem in DLP is Far from Being the Biggest

As cybersecurity professionals working in the DLP space, we tend to gravitate toward the newest threats. We expect ourselves to be able to cover each new threat, and our customers expect it as well. Shadow AI, chatbots, copilots, and external AI platforms are among the most popular topics we hear about from customers. But in

March 16, 2026
DLP Strategy & Trends

DLP Threat Modeling for the Age of AI

A fundamental change in how data moves inside organizations occurred in the last year. The use of generative AI tools is increasing, with AI becoming embedded directly in everyday workflows. Tools like Microsoft Copilot, ChatGPT, Gemini, and countless AI-powered agents are integrated into browsers, SaaS apps, developer environments, and internal systems. In many cases, enabled

March 23, 2026
DLP Strategy & Trends

The Great DLP Reset: Why DLP Fails, and How to Fix It

Cybersecurity analyst Lawrence Pingree shares new research on the DLP reset at an ORION Security webinar.

May 20, 2026
DLP Strategy & Trends

Why DSPM Doesn’t Need to Come Before DLP

Conventional wisdom says deploy DSPM first, then DLP, but that leaves organizations without enforcement for months. Agentic DLP changes the game.

June 3, 2026
DLP Strategy & Trends

Deepfake North Korean Remote Workers: a New Data Loss Threat

Deepfake remote workers from North Korea have been making cybersecurity headlines for a while now. Using fabricated identities, AI-generated résumés, and even deepfaked video calls, these malicious agents secure jobs at Western companies. Once inside, they operate like trusted employees while carrying out their true mission: stealing sensitive intellectual property and exfiltrating customer data. What

September 9, 2025
DLP Strategy & Trends

Why ORION Security Is Leading the DLP Reset

Independent research confirms DLP is undergoing a reset. ORION Security CTO and Co-Founder Jonathan Kreiner explains what’s driving it and what autonomous prevention looks like in practice.

June 4, 2026
DLP Strategy & Trends

Finding Intent: The Three DLP Hazards Every Security Team Must Know

Most DLP tools fail for a simple reason: they’re built to look at a single aspect of data loss. Sensitive data leaks out of organizations for three main reasons: human error, insider risk, and external attackers. Each behaves differently, requires a different approach to recognize and solve, and has a different frequency vs. impact curve. A DLP policy

October 9, 2025
DLP Strategy & Trends

Thinking Beyond Policies: AI‑Ready Data Protection

Read the original post in Sentra’s blog AI assistants, SaaS, and hybrid work have made data easier than ever to discover, share, and reuse. Tools like Gemini for Google Workspace and Microsoft 365 Copilot can search across drives, mailboxes, chats, and documents in seconds – surfacing information that used to be buried in obscure folders

February 25, 2026