We are thrilled to announce that ORION has just closed $32 million in funding led by Norwest and joined by IBM and existing investors PICO Venture Partners, Lama Partners, Underscore VC, and others.
As demand for ORION’s AI-powered alternative to traditional DLP grows, this round comes less than a year after our seed funding, bringing total capital raised to $38 million.
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Already protecting customers with tens of thousands of employees across finance, healthcare, and technology sectors, we are proud to be pioneering a new approach to data security that eliminates reliance on DLP policies and minimizes manual intervention.
The funding will enable us to accelerate development of our proprietary LLMs and specialized AI agents while expanding go-to-market operations to meet growing enterprise demand for our autonomous 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”.
Thinking Beyond Policies: A New Path for Preventing Data Loss
For more than a decade, enterprises have relied on traditional, notoriously inefficient DLP tools. These tools, based on thousands of human-authored policies, require constant tuning, generate a constant stream of false positives, yet still fail to stop data exfiltration.
Built on the assumption that more policies equal stronger protection, these tools cannot keep pace with modern risks posed by AI-driven workflows, uncontrolled SaaS adoption, and distributed workforces.
Because policies only protect against known threats, legacy DLP leaves enterprises exposed to unpredictable, rapidly emerging patterns of data loss that are becoming increasingly common.
ORION replaces traditional policy-centric models with automated, context-driven detection based on data-loss indicator analysis.
Powered by specialized AI agents and ORION’s proprietary LLM, the platform continuously detects and analyzes data loss indicators in real time, capturing the full context behind every movement, including content sensitivity, data lineage, user identity, behavioral intent, and environmental purpose.
By enabling customers to understand why data is moving, ORION prevents exfiltration before it occurs, dramatically reducing false positives while capturing incidents that existing DLP tools routinely miss. This approach significantly reduces maintenance costs and empowers enterprises to protect sensitive information without the inefficiencies of legacy systems.
Organizations using ORION have reported a massive reduction in DLP maintenance and tuning, accurate prevention of data movement beyond anticipated scenarios, and a near-zero false-positive rate.
Policies still play a role in ORION, but only where they are most effective: deterministic, predictable scenarios. Everything else is handled autonomously by ORION’s analysis agent.
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