Ox Security raises $60M Series B to cut through cyber noise
By focusing only on threats that matter, the Israeli firm is challenging how enterprises approach AppSec.
Cyber startup Ox Security, founded by former Check Point executives, has completed a $60 million Series B funding round. This follows its $34 million initial round just two and a half years ago—an unusually high sum for such an early-stage company. With the latest investment, Ox’s total funding has reached $94 million since its founding in 2021.
Full list of Israeli high-tech funding rounds in 2025
The company also announced that it has surpassed an annual recurring revenue (ARR) of $10 million and now serves over 200 enterprise clients in the finance and technology sectors, including Israeli fintech firm Sofi and eToro.
The new round was led by DTCP, with participation from IBM, Microsoft, Swisscom Ventures, Evolution Equity, and Team8.
Ox, recently featured in Calcalist’s “50 Most Promising Startups” list, currently employs 150 people—80 of whom are based in Israel. It was co-founded by Neatsun Ziv (CEO) and Lior Arzi (CTO), who previously led Check Point’s Security Division.
Ox operates in the enterprise application security space, a field it did not invent but has approached with a distinctive strategy. While competitors like Cider Security, Enzo, and Bionic have been acquired in recent years by Palo Alto Networks, Scenic, and CrowdStrike respectively, Ox has stood out by taking a more focused approach: alerting only on the most critical risks in the application development and deployment lifecycle.
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This unique approach gained relevance in the aftermath of the SolarWinds hack, which occurred shortly after the company was founded. While legacy competitors flooded clients with exhaustive threat lists, Ox made the case that 95% of AppSec alerts are noise—its platform filters out the clutter and flags only the top 5% of threats that could cause real damage.
According to the company’s 2025 App Security Index, the average organization faces 569,000 application security findings at any given time. Most of these are non-critical and drain resources without improving real-world security outcomes. The background noise also increases the risk of missing genuine threats.
This issue has become even more urgent with the rise of AI-generated code. While AI tools produce software at unprecedented speed, they can also introduce hidden or structural vulnerabilities that traditional security tools fail to detect. Ox’s platform is designed to adapt to this new environment by highlighting only the most dangerous and business-critical risks.
