Resources

Insider Threat Indicators: Behavioral and Digital Warning Signs to Watch

Insider threat indicators are the signs a trusted user is putting data at risk. Here are the behavioral, digital, and financial ones, and how to act.

July 20th, 2026

Shadowy figures representing insider threats.

DLP Strategy & Trends

People looking out through binoculars, representing search for data leaks.

AI Tools & Data Risk

How to Prevent AI Data Leaks at Work

Most AI data leaks are accidental, and they slip past traditional DLP. Here’s how to prevent AI data leaks at work without blocking AI outright.

July 17th, 2026

Series of triangles with exclamation points, representing prompt injection.

AI Tools & Data Risk

What Is Prompt Injection? Types, Examples, and How to Stop It

Prompt injection is when hidden instructions hijack an AI’s behavior. Here’s how it works, the main types, real examples, and how enterprises stop it.

July 16th, 2026

News & Announcements

Introducing a Data Loss Threat Model for the Age of AI

ORION Security’s Data Loss Threat Model maps how sensitive data can move and leave an organization, from traditional DLP paths to AI-native ones like MCP and shadow AI.

July 15th, 2026

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News & Announcements

ORION Closes $32 Million in Funding – Building DLP Beyond Policies

ORION Security closes $32M in funding to build autonomous, AI-powered DLP that replaces policies with real-time contextual data loss prevention.

April 3rd, 2026

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

April 3rd, 2026

A new threat model is needed for full data protection.

AI Tools & Data Risk

How AI Broke the Data Protection Threat Model

Traditional DLP was built for data moving through known channels, but AI tools move sensitive data with no upload or download event to flag. Here's why the old threat model no longer fits and what has to replace it.

June 30th, 2026

AI Tools & Data Risk

Executive Summary: Policy-Reliant DLP Fails Against Shadow AI

Data Loss Prevention (DLP) based on policies was built for a world that no longer exists. For decades, security teams have relied on policies that looked sound on paper. In practice, translating them into DLP rule sets has meant a constant struggle between false positives that disrupt business and missed incidents that expose sensitive data.

April 3rd, 2026

Agentic DLP

How Agentic DLP Works: From Data Movement to Verdict

Agentic DLP works by reading the intent behind every data movement and producing a verdict, not an alert, then acting before data leaves. Here’s how.

July 2nd, 2026

AI Tools & Data Risk

What Is Shadow AI? Risks, Examples, and How to Manage It

Shadow AI is the unapproved use of AI tools at work, and it’s where sensitive data slips out of view. Here’s what it is, the risks, and how to manage it.

July 8th, 2026

Outline of a human figure representing an insider threat.

DLP Strategy & Trends

What Is an Insider Threat? Types, Examples, and How to Prevent Data Loss

An insider threat is when someone with authorized access misuses it, on purpose or by accident. Here are the types, examples, and how to prevent data loss.

July 8th, 2026

Blurry lines of data represent shadow AI.

AI Tools & Data Risk

How to Detect Shadow AI Across Your Organization

Shadow AI detection means finding the unapproved AI tools in use and the data going to them. Here are the layers, the signals, and what blocklists miss.

July 9th, 2026

Insider Threat Indicators: Behavioral and Digital Warning Signs to Watch

How to Prevent AI Data Leaks at Work

What Is Prompt Injection? Types, Examples, and How to Stop It

Introducing a Data Loss Threat Model for the Age of AI

Get smarter about data loss in the AI era.

ORION Closes $32 Million in Funding – Building DLP Beyond Policies

Thinking Beyond Policies: AI‑Ready Data Protection

How AI Broke the Data Protection Threat Model

Executive Summary: Policy-Reliant DLP Fails Against Shadow AI

How Agentic DLP Works: From Data Movement to Verdict

What Is Shadow AI? Risks, Examples, and How to Manage It

What Is an Insider Threat? Types, Examples, and How to Prevent Data Loss

How to Detect Shadow AI Across Your Organization

Data loss, prevented