ORION Security Raises $32 Million to Scale Autonomous, AI-Driven DLP Platform

New updates have been reported about ORION Security.

ORION Security has raised $32 million in a Series A round led by Norwest with participation from IBM and existing investors, bringing total funding to $38 million and positioning the company to expand its AI-native alternative to traditional data loss prevention (DLP) systems. Less than a year after its seed round, the New York- and Tel Aviv-based company is reporting rapid adoption among tier-1 enterprises in finance, healthcare, and technology that are seeking to replace policy-heavy, legacy DLP tools that generate high false-positive rates and require continuous manual tuning. CEO and co-founder Nitay Milner said the raise validates ORION’s thesis that adding more policies is not solving data loss, and that a contextual, AI-driven approach is needed to accurately differentiate normal business processes from malicious or risky behavior.

The new capital will be used to accelerate development of ORION’s proprietary end-to-end architecture and specialized AI agents, and to expand go-to-market capacity to meet growing demand for autonomous DLP. ORION’s platform continuously analyzes data movements in real time, incorporating content sensitivity, data lineage, user identity, behavioral intent, and environmental context to detect and prevent exfiltration before it occurs, aiming to sharply reduce false positives while capturing incidents that legacy DLP tools miss. This shift from static, human-authored rules to context-aware automation targets a global DLP market cited at roughly $5 billion, where enterprises are struggling with AI-driven workflows, SaaS sprawl, and distributed workforces. Founded in 2024 by Milner and CTO Jonathan Kreiner, ORION is positioning itself as a core data security control for modern enterprises, with the latest funding expected to support product scaling, deeper enterprise integrations, and broader market penetration across regulated and data-intensive sectors.