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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Agentic DLP

Indicators of Data Loss: The Path to Fully Automated DLP

For the past decade, Data Loss Prevention (DLP) tools and platforms have been built on thousands of human-authored policies intended to cover every possible way sensitive data might leave the organization. Traditional DLP implementation starts with defining policies. The issue is that it also usually ends there – often without ever leaving “monitor-only” mode. Implementation

October 1st, 2025

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 9th, 2025