ORION, an AI-powered data security company focused on rethinking how enterprises prevent data loss, has closed a $32m funding round as demand accelerates for alternatives to traditional DLP tools.
The round was led by Norwest, with participation from IBM and existing investors PICO Venture Partners, Lama Partners, Underscore VC, alongside others. The latest raise comes less than a year after the company’s seed funding and brings ORION’s total capital raised to $38m.
ORION is positioning itself as a new generation of DLP provider, replacing traditional policy-heavy approaches with autonomous, context-driven detection. Its platform is designed to help organisations understand why data is moving, rather than relying on static rules that often generate false positives while still failing to stop genuine data exfiltration.
The company’s technology is built around proprietary large language models and specialised AI agents that analyse data-loss indicators in real time. This includes assessing content sensitivity, data lineage, user identity, behavioural intent and environmental context, allowing enterprises to distinguish legitimate workflows from malicious or risky activity with far greater accuracy.
According to the company, the new funding will be used to accelerate the development of its proprietary LLMs and AI agents, while also expanding go-to-market operations to meet rising enterprise demand for autonomous DLP solutions. ORION is already protecting organisations with tens of thousands of employees across sectors including finance, healthcare and technology.
Traditional DLP tools have long been criticised for requiring constant tuning and maintenance, often relying on thousands of human-authored policies that struggle to keep pace with modern risks such as AI-driven workflows, widespread SaaS adoption and distributed workforces. ORION argues that these legacy approaches leave organisations exposed to emerging and unpredictable patterns of data loss.
By shifting detection away from predefined policies and towards continuous contextual analysis, ORION claims customers can dramatically reduce false positives, cut operational overheads and prevent data loss before it occurs. Policies still play a role in its platform, but only in deterministic, predictable scenarios, with autonomous analysis handling the rest.
ORION CEO and co-founder Nitay Milner said, “This funding is a powerful validation of what we’ve believed from day one: better policies are not the solution for DLP”.
“Traditional DLP solutions often add more policies, invest hours in improving them, or perhaps refine them with AI, but data loss incidents are more widespread than ever. By moving beyond policy-based DLP and using AI to gain true contextual understanding, we’re giving enterprises a way to accurately distinguish between legitimate workflows and malicious activity”.
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