Orion Security Secures $32M for AI-Powered Data Loss Prevention
▼ Summary
– Orion Security raised $32 million in a Series A funding round led by Norwest Venture Partners, with participation from IBM and existing investors.
– The funding will accelerate development of its AI-driven platform and expand operations to meet demand for its autonomous Data Loss Prevention (DLP) solution.
– Traditional DLP tools are criticized for being inefficient, relying on numerous human-authored policies that generate false positives and fail to stop modern data exfiltration.
– Orion’s platform uses specialized AI agents and a proprietary LLM to analyze data-loss indicators in real time, focusing on context rather than just policies.
– This autonomous, context-driven approach prevents data exfiltration proactively, significantly reduces false positives and maintenance costs, and captures incidents legacy tools miss.
Orion Security has successfully closed a $32 million Series A funding round, a significant investment that will fuel the expansion of its innovative data loss prevention platform. Led by Norwest Venture Partners, the round saw participation from IBM and existing investors such as PICO Venture Partners and Lama Partners. This capital infusion, arriving less than a year after the company’s Seed financing, brings its total funding to $38 million. The resources will accelerate development of its proprietary architecture and specialized AI agents while scaling go-to-market efforts to meet rising enterprise demand for autonomous data security solutions.
This funding is a powerful validation of what we’ve believed from day one: better policies are not the solution for DLP, stated Nitay Milner, CEO of Orion. For years, organizations have depended on traditional DLP tools that rely on thousands of manually created policies. These systems are notoriously inefficient, requiring constant adjustment and generating endless false alarms while still failing to prevent data theft. Built on the flawed idea that more rules mean better security, they cannot handle today’s risks from AI-driven processes, widespread SaaS application use, and remote workforces.
The fundamental weakness of policy-based tools is their focus on known threats. This leaves companies vulnerable to new, unpredictable patterns of data loss that are increasingly common. Orion discards this outdated model in favor of an automated, context-aware system driven by data-loss indicator analysis. The platform uses specialized AI agents and a proprietary large language model to continuously monitor and analyze these indicators in real time. It captures the full context behind every data movement, including the sensitivity of the content, its origin, user identity, behavioral intent, and the environmental purpose of the transfer.
By helping customers understand precisely why data is moving, Orion can stop exfiltration before it happens. This method drastically cuts down on false positives while catching incidents that conventional DLP tools regularly overlook. The result is a major reduction in maintenance overhead, allowing businesses to protect sensitive information without the operational burdens of legacy systems. Clients using Orion report massive decreases in tuning efforts, accurate prevention of data movement in unanticipated situations, and a false-positive rate that nears zero.
Policies still have a place within the Orion platform, but only where they are truly effective: in deterministic, predictable scenarios. For everything else, the analysis agent operates autonomously. ORION is rewriting the rules of data security, eliminating the rigid policy structures that have held DLP back for decades, commented Dave Zilberman, General Partner at Norwest Venture Partners. With a fully autonomous, context-driven approach, ORION isn’t just building a better product; it’s redefining how enterprises safeguard their most critical asset: data.
(Source: HelpNet Security)