ORION - Resources

‘LOL … so funny’: What Apple vs. OpenAI Teaches Us About Insider Threats

Why Apple's allegations against OpenAI are a useful case study in how insider exfiltration can happen in practice.

July 22nd, 2026

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

Agentic DLP

Agentic DLP vs Legacy DLP: What Actually Changed

Agentic DLP vs legacy DLP comes down to the engine. See the same data movements handled by each, and what changes for your security team.

July 2nd, 2026

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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 20th, 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 23rd, 2026

News & Announcements

From SaaS Visibility to Real-Time Protection: ORION – Grip Security Integration Announcement

Modern organizations rely heavily on SaaS platforms and AI-powered tools to improve productivity and automate workflows. As these technologies become embedded in everyday operations, they also introduce new pathways for sensitive information to move across applications, users, and environments. To help organizations protect their most sensitive data in this evolving landscape, we are proud to

March 17th, 2026

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 16th, 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.

February 26th, 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

February 25th, 2026

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.

February 3rd, 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 9th, 2025

News & Announcements

From Data Visibility to Real-Time Protection: WIZ – ORION Partnership Announcement

Company data is scattered across countless databases, storage buckets, and applications, spanning multiple clouds and on-premises systems. That’s the reality of every modern organization, whether we like it or not. In such a complex system, having visibility into where your data resides is more important than ever – but it’s just one part of the challenge. Once

October 1st, 2025

‘LOL … so funny’: What Apple vs. OpenAI Teaches Us About Insider Threats

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

Introducing a Data Loss Threat Model for the Age of AI

Agentic DLP vs Legacy DLP: What Actually Changed

Get smarter about data loss in the AI era.

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

DLP Threat Modeling for the Age of AI

From SaaS Visibility to Real-Time Protection: ORION – Grip Security Integration Announcement

The newest problem in DLP is far from being the biggest

Executive Summary: Policy-Reliant DLP Fails Against Shadow AI

Thinking Beyond Policies: AI‑Ready Data Protection

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

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

From Data Visibility to Real-Time Protection: WIZ – ORION Partnership Announcement

Data loss, prevented