AI-Powered Data Loss Prevention Against Insider Threats

ORION Security is an AI-driven data security platform that removes the limitations of traditional DLP.

Rather than rely on static rule sets or policy libraries ORION applies contextual machine reasoning to monitor data flows across SaaS, cloud, email, web, and AI tool agents.

Its core engine generates indicators of leakage, identifies data in motion, determines its sensitivity, and evaluates why it is moving, reducing false positives while highlighting true exfiltration risks.

ORION is built around three primary capabilities: Trace, Classify, and Protect.

• Trace creates a unified data graph that maps all data movement inside and outside an organization.
• Classify uses an LLM-based sensitivity model to categorize structured and unstructured data automatically.
• Protect applies real-time decisions (— blocking, warning, or requiring justification) — to intercept risky transfers and prevent unauthorized exfiltration.

The product integrates with a wide range of enterprise systems, including Okta, Azure AD, Slack, Salesforce, GitHub, Google Workspace, AWS, Windows, and multiple identity, productivity, and security platforms.

Founded in February 2024, the Tel Aviv, ORION scored a $32 million Series A just months after coming out of stealth two years later in February 2026.