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Cybersecurity AIUnknownClear buyer pull

ORION Security

Data loss prevention can use contextual intelligence about how information moves, reducing dependence on security teams continually defining and tuning rules.

Company snapshot

Stage
Unknown
Status
published
Updated
Nov 8, 2026
Views

What they're building

Data loss prevention can use contextual intelligence about how information moves, reducing dependence on security teams continually defining and tuning rules. ORION Security uses AI agents to detect and prevent sensitive data leaks by understanding data movement and business context across enterprise systems.

Founders

Nitay Milner

Co-founder

Jonathan Kreiner

Co-founder

Foundation model usage

Editorial estimates from product descriptions. Model providers and actual usage are not confirmed.

Inferred architecture
Agentic loops, Embeddings & semantic search
Estimated model demand
High intensity

NYC footprint

NYC presence
NYC company or team supported by public sources. Street address has not been verified.

Funding

Public funding details are not disclosed yet.

Sources & location evidence

Open research desk ↗

Profile source review: 2026-11-04. Company identity, product and named founders only. Existing funding stage and NYC presence need separate verification. Synthesized; technical doctrine route. Original homepage line: 'Agentic DLP for Data in Motion.' September 30, 2026 official announcement describes contextual analysis across channels and explicitly names the two founders. Correct orionsecurity.com, which belongs to an unrelated physical-security business, to orionsec.io. Do not normalize Jonathan to Yonatan from secondary coverage. Blurb word count: 22; thesis word count: 21.

Notes

ORION Security is tagged clear buyer pull based on buyer clarity, repeat workflow activity, public activity, and fit with the AI Atlas map.

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