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Matan Even Net Worth: How the Innovator Built His Fortune

Matan Even is an Israeli technology entrepreneur and investor whose career spans early-stage ventures and active portfolio support in cybersecurity, cloud infrastructure, and en...

Mara Ellison
Matan Even Net Worth: How the Innovator Built His Fortune

Matan Even is an Israeli technology entrepreneur and investor whose career spans early-stage ventures and active portfolio support in cybersecurity, cloud infrastructure, and enterprise software. His professional trajectory has positioned him as a recognized operator and thought leader within the Israeli tech ecosystem.

Below is a structured overview of key professional markers for Matan Even, designed to highlight roles, timelines, and financial outcomes at a glance.

Company Role Organization Tenure Impact & Outcome
Co-founder & CEO Argil AI 2020–Present Built a generative AI security platform, raised institutional funding, and achieved product-market fit in enterprise segmentation.
Co-founder & CTO CyberX (acquired by Microsoft) 2014–2019 Led industrial cybersecurity product and platform development; key architecture decisions supported scalable detection and response.
Senior Product Manager Microsoft 2019–2020 Drove security roadmap for Azure IoT and edge offerings, aligning product cycles with enterprise demand.
Investor & Advisor Israeli Venture Partners & Portfolio Companies 2021–Present Guides product strategy, go-to-market, and fundraising for early-stage security and data-centric startups.

Early Career and Foundational Experience

Matan Even began his career focusing on network security and infrastructure resilience, roles that shaped his technical depth and product mindset. These early positions exposed him to real-world threat scenarios and laid the groundwork for future leadership in security platform design.

Matan Even as Co-founder of Argil AI

In his role as Co-founder and CEO of Argil AI, Matan Even oversees the vision and execution of a generative AI security platform tailored for enterprise segmentation and compliance. Under his leadership, the company has advanced its engineering milestones, secured strategic customers, and strengthened its position in the emerging AI security market.

Impact in Industrial Cybersecurity at Microsoft

During his tenure at Microsoft, Matan Even contributed directly to the evolution of Azure IoT security and edge protection capabilities. His work influenced how organizations detect, investigate, and respond to sophisticated threats across distributed environments.

Portfolio Influence and Current Ventures

As an active investor and advisor, Matan Even supports a portfolio of startups in cybersecurity and data-centric domains. His hands-on approach includes product reviews, go-to-market planning, and introductions to industry partners and capital sources.

Key Takeaways for Professionals

  • Focus on building deep technical expertise in security domains before scaling product leadership.
  • Balance hands-on engineering with strategic hiring and roadmap planning during early-stage ventures.
  • Leverage industry partnerships and public cloud platforms to accelerate go-to-market in cybersecurity.
  • Maintain close alignment between product iterations and evolving enterprise compliance requirements.
  • Develop clear narratives around segmentation and AI security to resonate with high-stakes buyers.

FAQ

Reader questions

What is Matan Even best known for in the tech industry?

He is best known for co-founding Argil AI and for his leadership in industrial cybersecurity at Microsoft, where he helped define scalable security for IoT and edge platforms.

Which companies has Matan Even founded or co-founded?

He is the Co-founder and CEO of Argil AI, and he was Co-founder and CTO of CyberX prior to its acquisition by Microsoft. He provides product strategy, market positioning, and operational guidance to early-stage security and data companies, helping them align technology with enterprise needs. He played a key role in advancing Azure IoT and edge security capabilities, enabling more robust detection and response for distributed industrial environments.

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