Orion Security

Cover Block

Attribute	Value
Name	Orion Security
Tagline	AI-driven contextual data security replacing legacy DLP tools
Headquarters	Israel
Founded	2024
Stage	Series A
Business Model	SaaS
Industry	Security
Technology	AI / Machine Learning
Geography	Middle East / North Africa
Growth Profile	Venture Scale
Founding Team	Nitay Milner, Jonathan Kreiner
Funding Label	Series A (total disclosed ~$38,000,000)

Links

• Website: https://www.orionsec.io/
• LinkedIn: https://www.linkedin.com/company/orion-security-e3dd/

Executive Summary

Orion Security is an Israeli startup building an AI-driven platform that aims to replace legacy data loss prevention tools by using autonomous agents to analyze data context in real time, a bet that has attracted $38 million in venture capital in just over a year [Calcalist, May 2026]. Founded in 2024, the company emerged from stealth in March 2025 with a $6 million seed round and closed a $32 million Series A led by Norwest Venture Partners with IBM participating in May 2026 [PRNewswire, March 2025] [Calcalist, May 2026]. Its product differentiates by moving away from static, policy-heavy DLP enforcement toward a system where AI agents assess data sensitivity, user intent, and historical patterns to stop leaks before they occur, reportedly reducing false positives [Calcalist, May 2026].

Founders Nitay Milner and Jonathan Kreiner bring a blend of enterprise security and intelligence backgrounds, with prior experience at Cisco, Epsagon, and Israeli Military Intelligence Unit 8200 [LinkedIn, 2026]. The company operates a SaaS business model targeting regulated sectors like finance, healthcare, and technology, and claims to have ramped to seven-figure annual recurring revenue within five months of its seed round [JPost, May 2026] [LinkedIn, 2026]. Over the next 12-18 months, the key watchpoints are the translation of early revenue momentum into named enterprise deployments, the technical performance of its autonomous agents at scale, and the strategic depth of its partnership with investor IBM.

Independently corroborated -- Confirmed by multiple independent news reports and founder LinkedIn profiles.

Taxonomy Snapshot

Axis	Value
Stage	Series A
Business Model	SaaS
Industry / Vertical	Security
Technology Type	AI / Machine Learning
Geography	Middle East / North Africa
Growth Profile	Venture Scale
Funding	$38M (Series A + Seed)

How the Company Got Here

Orion Security is a venture-scale cybersecurity startup founded in 2024, headquartered in Israel, with operational presence in New York and Tel Aviv [Crunchbase] [LinkedIn, 2026]. The company emerged from stealth in March 2025 with a $6 million seed round to address data loss prevention, a category historically reliant on static, policy-based tools [PRNewswire, March 2025]. Its founding thesis is that legacy DLP systems generate excessive false positives and fail to understand the context of data movement, a gap the founders believe can be closed with autonomous AI agents [Calcalist, May 2026].

Key milestones trace a rapid trajectory from concept to Series A. The seed financing, led by PICO Venture Partners and FXP, provided initial capital to build the product [PRNewswire, March 2025]. Within approximately five months of its commercial launch, the company reported ramping from zero to seven-figure annual recurring revenue [LinkedIn, 2026]. This growth momentum culminated in a $32 million Series A round in May 2026, led by Norwest Venture Partners with strategic participation from IBM, bringing total disclosed funding to $38 million [Calcalist, May 2026] [The Jerusalem Post, May 2026].

Independently corroborated -- Confirmed by multiple independent news outlets (Calcalist, JPost, PRNewswire) and founder LinkedIn profiles.

Product and Technology

The core proposition is an autonomous, AI-driven platform designed to replace policy-heavy legacy data loss prevention (DLP) tools [Calcalist, May 2026]. Instead of relying on static rules, Orion's system employs AI agents to analyze outbound data in real time, considering context like data sensitivity, user identity, intent, and historical patterns to distinguish legitimate activity from potential leaks [Calcalist, May 2026]. The stated goal is to prevent data exfiltration before it occurs while reducing the high rate of false positives common in traditional DLP systems.

Public descriptions position the technology as a wedge into established enterprise security stacks, specifically targeting the finance, healthcare, and technology sectors [JPost, May 2026]. The company's marketing emphasizes a shift from policy-based enforcement to contextual, autonomous decision-making.

• Architecture inference. The reliance on real-time analysis of outbound data streams suggests an architecture that likely integrates with enterprise communication and storage endpoints, such as email, cloud storage, and collaboration tools.
• Deployment status. The company claims to serve paying customers across its named verticals, indicating a generally available product [JPost, May 2026].

Lightly corroborated -- Product claims are consistently reported across multiple news outlets, but technical implementation details and independent performance benchmarks are not publicly available.

Where the Demand Sits

The data loss prevention market is undergoing a fundamental shift, driven by the inadequacy of policy-based tools to manage modern data sprawl and sophisticated insider threats. Orion Security's bet is that this creates a window for a new architectural approach, one that replaces static rules with autonomous, context-aware analysis.

The broader data security market provides a relevant anchor. According to Gartner, the worldwide data security market was valued at approximately $4.5 billion in 2024, with a projected compound annual growth rate (CAGR) of 12.5% through 2028 [Gartner, 2024]. This growth is fueled by several converging drivers. The volume and velocity of data creation continue to accelerate, expanding the attack surface. Simultaneously, the rise of generative AI tools within enterprises introduces new, unpredictable data exfiltration vectors that legacy systems are not designed to monitor [SiliconANGLE, 2026]. Finally, a persistent shortage of skilled security analysts makes manual policy tuning and alert triage unsustainable, increasing demand for automated, accurate threat detection.

Regulatory and macro forces provide a consistent tailwind. Global data privacy regulations, such as GDPR in Europe and CCPA in California, impose strict requirements for data protection and breach notification. In sectors like finance and healthcare, which Orion cites as its initial customer verticals, industry-specific regulations (e.g., HIPAA, GLBA) mandate stringent data controls [JPost, May 2026].

Metric	Value
Data Security Market 2024	4.5 $B
Projected CAGR 2024-2028	12.5 %

Lightly corroborated -- Market sizing is based on an analogous, broader market report from a named third-party analyst firm. Specific TAM for autonomous DLP is not publicly available.

Competitive Landscape

Orion Security enters a crowded security market by targeting a specific, high-friction pain point: the operational burden and high false-positive rates of legacy data loss prevention tools. The company's public positioning frames it as an autonomous, AI-driven alternative to policy-heavy incumbents [Calcalist, May 2026].

The competitive map for data-in-motion security is segmented by approach. On one side are the established DLP incumbents, such as Broadcom (Symantec), Forcepoint, and Microsoft (Purview), which rely on predefined policies and rulesets. A second segment includes cloud-native security posture management (CSPM) and data security posture management (DSPM) platforms like Wiz, Lacework, and Palo Alto Networks (Prisma Cloud), which focus on discovering and classifying data at rest in cloud environments. The third and most direct segment comprises newer AI-native challengers aiming to contextualize data flows.

Orion's claimed edge rests on its AI agent architecture for real-time analysis and its focus on replacing policies with autonomous decision-making [Calcalist, May 2026]. The participation of IBM as a strategic investor could provide a channel and validation advantage [Calcalist, May 2026].

Lightly corroborated -- Competitive positioning is sourced from company claims in news coverage; specific competitor names and market structure are inferred from the broader category, not from direct Orion disclosures.

Opportunity

The prize for Orion Security is a foundational role in the next generation of enterprise data security, moving from a reactive, policy-based cost center to an autonomous, context-aware control layer.

The headline opportunity is to become the default platform for autonomous data security. Norwest Venture Partners led the Series A, and IBM participated as a strategic investor [Calcalist, May 2026]. The company's claim of ramping to seven-figure annual recurring revenue within five months of its seed round indicates early product-market fit is being achieved at a venture-scale pace [LinkedIn, 2026].

Scenario	What happens	Catalyst	Why it's plausible
IBM-Led Enterprise Standard	Orion becomes the recommended or embedded data security layer within IBM's hybrid cloud and security portfolios.	A formal technology or go-to-market partnership announcement with IBM.	IBM's participation in the funding round is a clear signal of strategic interest [Calcalist, May 2026].
Sector-Specific Dominance in Finance	The company becomes the de facto security standard for financial data protection.	A flagship deployment with a top-tier global bank is publicly referenced.	Orion already lists the finance sector as a core customer vertical [The Jerusalem Post, May 2026].
The "Security Co-Pilot" Platform	Orion's AI agents evolve beyond data loss prevention to become a general-purpose security analysis layer.	The company launches an API or marketplace allowing other security vendors to use its contextual analysis engine.	The foundational technology is applicable to a broad range of security use cases [Calcalist, May 2026].

Lightly corroborated -- Core opportunity thesis is built on cited funding events, investor composition, and early traction claims.

Sources

1. [Calcalist, May 2026] Cyber startup Orion raises $32 million Series A backed by IBM for AI-driven data-leak prevention | https://www.calcalistech.com/ctechnews/article/byzup00kw11e
2. [The Jerusalem Post, May 2026] Israeli startup ORION raises $32 million in Series A round | https://www.jpost.com/business-and-innovation/tech-and-start-ups/article-885400
3. [Crunchbase] ORION Security - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/orion-security-e3dd
4. [PRNewswire, March 2025] Orion Security launches from stealth with $6M to secure enterprise data from insider threats using generative AI | https://www.prnewswire.com/il/news-releases/orion-security-launches-from-stealth-with-6m-to-secure-enterprise-data-from-insider-threats-using-generative-ai-302404662.html
5. [LinkedIn, 2026] Daniel Bass - ORION Security | https://www.linkedin.com/in/daniel-bass-8b2bb81ab/
6. [LinkedIn, 2026] Itay Maor - ORION Security | https://www.linkedin.com/in/itaymaor/
7. [LinkedIn, 2026] Or Daniel - ORION Security | https://www.linkedin.com/in/or-daniel-864018140/
8. [SiliconANGLE, 2026] Orion Security raises $32 million to advance autonomous data loss prevention | https://siliconangle.com/2026/02/03/orion-security-raises-32-million-advance-autonomous-data-loss-prevention/
9. [Orion Security, 2026] ORION - DLP Beyond Policies | https://www.orionsec.io/
10. [LinkedIn, 2026] Nitay Milner - Orion Security | https://www.linkedin.com/in/nitay-milner/
11. [Gartner, 2024] Data Security Market Analysis | Not applicable (proprietary report)
12. [PRNewswire, May 2026] ORION Security Closes $32 Million in Funding Ushering in Autonomous Data Loss Prevention Without Reliance on Policies | https://www.prnewswire.com/news-releases/orion-security-closes-32-million-in-funding-ushering-in-autonomous-data-loss-prevention-without-reliance-on-policies-302676870.html