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AIR Raises $50M to Secure AI Agent Software Supply Chain

🔄 Updated 1h ago
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Key points

  • AIR raised $50M across two seed rounds led by Sequoia and Greenoaks.
  • The platform vets AI agent skills, tools, and components for security.
  • It blocks agents from interacting with unapproved software or external sources.
  • AIR also offers a marketplace of vetted AI agent add-ons and skills.

AI Security Startup Secures Funding

AIR, an AI security startup, has exited stealth mode after securing $50 million in seed funding. The funding was raised in two separate rounds; the first round totaled $10 million led by Sequoia, and the second round raised $40 million led by Greenoaks. Additional investors included Swish, Netz, Zach Frankel, Yinon Costica, Ofir Ehrlich, Anne Neuberger, Omer Adam, and Varun Anand.

Platform for AI Agent Vetting

Founded by Yair Saban (CEO) and Niv Hoffman (CTO), both veterans of Israel’s Unit 8200 intelligence corps, AIR offers a platform designed to monitor the nascent software supply chain forming around AI agents. This platform discovers AI agents operating within company environments, continuously vets the skills, tools, and components these agents utilize, and prevents them from interacting with software or external sources that do not meet defined security standards. The company also provides a marketplace for vetted AI agent add-ons and skills.

Addressing AI Agent Security Risks

AIR's approach highlights a perceived gap in oversight for AI agent tools, comparing it to the evolution of driver signing in operating systems. The company argues that as AI agents gain more autonomy and access to enterprise systems and the internet, a significant risk emerges from attackers potentially poisoning the content an AI agent consumes, rather than directly attacking the agent itself. The platform aims to mitigate this by providing visibility into active agents and identifying unauthorized AI tool usage by employees.

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Reporting from

AI security startup AIR emerged from stealth with $50 million in seed funding to develop a platform for vetting AI agent skills and add-ons. The platform discovers AI agents, continuously vets their components, and blocks interactions that fail security criteria, addressing risks associated with AI agents operating autonomously across enterprise systems.