ORION, a cybersecurity company focused on autonomous data loss prevention, has closed a new funding round on $32m.
The company raised $32m in the round, which was led by Norwest and joined by IBM, alongside existing investors PICO Venture Partners, Lama Partners and Underscore VC. The funding comes less than a year after ORION’s seed round and brings the company’s total capital raised to $38m.
Founded to address what it sees as the growing shortcomings of traditional data loss prevention tools, ORION has built an AI-powered alternative to legacy DLP systems that rely heavily on static, human-authored policies. The company says those approaches struggle to keep pace with modern enterprise environments shaped by widespread SaaS adoption, distributed workforces and increasingly AI-driven workflows.
ORION’s platform is designed to move beyond policy-centric models by using automated, context-driven detection based on the analysis of data loss indicators. Its technology continuously examines how and why data is moving across an organisation, taking into account factors such as content sensitivity, data lineage, user identity, behavioural intent and environmental context. By focusing on intent and context rather than predefined rules, the company aims to prevent data exfiltration before it occurs while significantly reducing false positives.
According to ORION, the new capital will be used to accelerate the development of its proprietary large language models and specialised AI agents, as well as to expand go-to-market operations in response to growing enterprise demand for autonomous DLP capabilities. The company says its platform is already protecting organisations with tens of thousands of employees across sectors including finance, healthcare and technology.
ORION argues that traditional DLP tools, which often require constant tuning and generate large volumes of alerts, have become increasingly inefficient as data environments grow more complex. By automating much of the detection and analysis process, the company claims customers can reduce ongoing maintenance costs while gaining visibility into data loss scenarios that legacy systems routinely miss. Policies, it says, still have a role, but only in narrow, deterministic use cases, with the majority of decisions handled autonomously by its AI analysis engine.
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.” He added, “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”.
Dave Zilberman, general partner at Norwest, said, “ORION is rewriting the rules of data security, eliminating the rigid policy structures that have held DLP back for decades. 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.”
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