Rig Security Emerges from Stealth with US$12 Million Seed Round
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Rig Security Emerges from Stealth with $12 Million Seed Round

Backed by Ten Eleven Ventures, Brightmind Partners, and CrowdStrike Falcon Fund

9/29/2026
•Ali Abounasr El Alaoui
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Rig Security has emerged from stealth with a US$12 million Seed funding round to address identity security challenges created by AI agents. The round was co-led by Ten Eleven Ventures and Brightmind Partners, with strategic participation from the CrowdStrike Falcon Fund and backing from cybersecurity founders, including Wiz Co-Founder Ami Luttwak. The Tel Aviv-based company is introducing a platform that correlates human, machine, and AI identity activity while enforcing policy at runtime.


The Challenge of Agentic Identity Risk

AI agents operate with high speed and broad access, making identity one of the most vulnerable attack surfaces in modern enterprises. Rig Security notes that roughly three in four breaches involve compromised identities, and traditional visibility or posture tools are not sufficient. Security teams need a unified, real-time view of chained permissions and trust relationships across cloud, on-premises, and identity provider systems.

Many AI assistants, autonomous agents, and automation tools do not log in as themselves. Instead, they borrow the identity of the human owner or service account that launched them, so a destructive agent action can look identical to legitimate account activity. Rig was built to close this gap by discovering AI agents on endpoints, distinguishing their activity, and connecting actions to a single graph of access.

Platform Architecture and Core Capabilities

Rig Security's foundation is the Rig Identity Correlation Engine, known as RICE, which uses machine learning and mathematical modeling to resolve identities across cloud, on-premises, identity provider, and endpoint environments with greater than 96% accuracy in internal testing. RICE powers Rig's Identity Dependencies Graph, a live map of human, machine, and AI identities connected through accounts, permissions, sessions, and trust relationships. The research has produced five inventions and is in the patent process.

Complementing the engine is a lightweight endpoint sensor that observes identity activity at the device level. This sensor distinguishes an AI agent's session from the user's own session and enforces policy inline, allowing security teams to block a misused agent's risky action before it reaches the cloud. These capabilities enable Rig to deliver Identity Security Posture Management and Identity Threat Detection and Response for AI and non-human identities from one platform.

Enterprise Adoption and Strategic Backing

Rig Security is already in production with Fortune 200 organizations across financial services, insurance, healthcare, and technology, and it is available on the AWS Marketplace and the CrowdStrike Marketplace. The company was named one of two runners-up in the 2025 Amazon Web Services and CrowdStrike Cybersecurity Startup Accelerator, presented in collaboration with the NVIDIA Inception program for startups. It currently protects tens of millions of identity activities and has grown to 20 employees.

Before founding Rig, CEO Guy Kozliner worked at Wiz under Co-Founder and CTO Ami Luttwak, who is now an investor. Mark Hatfield, Co-Founder and Partner at Ten Eleven Ventures, said identity has become the dominant breach vector and a fragmented defense area as organizations manage human, machine, and AI-driven identities. He added that Rig goes beyond tools that only show the problem by connecting visibility, risk, and real-time enforcement.

Rig's leadership team includes CTO Nokky Goren, the first engineer at Axis Security, acquired by HPE, and Head of Product Michal Haikov, a veteran of Israel's Unit 8200 and Flow Security, acquired by CrowdStrike. The company's backing includes Ten Eleven Ventures, Brightmind Partners, the CrowdStrike Falcon Fund, and leading security founders and executives. This investor and leadership composition reflects confidence in Rig's approach to securing identity in the AI era.


As AI agents become embedded in operations, marketing, engineering, and automated workflows, the ability to separate agent actions from human identity becomes essential for enterprise security. Rig Security's emergence from stealth provides a platform that unifies identity visibility, risk reduction, and runtime enforcement for human, machine, and AI identities. With early enterprise adoption, strategic investors, and a research-driven foundation, the company is positioned to define a new category of identity protection for the agentic era.