Security built for the agentic enterprise

AI agents are becoming part of everyday business. AIR keeps them secure, governed, and under control.

Your agents take dozens of add-ons aboard. One of them could be malicious.

Every add-on that comes aboard gets a hand on the ropes: your data, your systems, your workflows. A malicious one looks just like the rest. AIR spots it before it starts steering.

Five gray figurines with elf-like ears, round eyes, wearing large pointed hoods and vests, lined up against a pink grid background; the fourth figurine has a wide toothy grin with the text 'NOT ON THE MANIFEST' in a pink diagonal banner.

AIR was founded to secure

THE SECURITY LAYER FOR AI AGENTS

We’re building the security layer for AI agents – giving enterprises visibility and control over the agents in their environment, what enters their context, and what they can do.

Backed by people who believe the category is just beginning

Sequoia Capital

Greenoaks

Swish ventures

AIR Research

Research doesn’t sit beside our product, it shapes what we build next.

AIR researchers uncover emerging threats across AI agent ecosystems, including hijackable skills affecting over 134,000 agents and new zero-click supply-chain attacks.

Explore AIR Research

air research team

Built by people who used to break in

Yair and Niv spent years in offensive security, finding how attackers get in. When AI agents started reaching into company data and systems, they recognized a familiar problem: powerful software with broad access, and few controls around it. AIR is the team built to solve it: security researchers, engineers and product builders working on one problem.

Content

Agents pull in skills, tools and context from everywhere, and most of it goes unchecked. We look at it like an attacker would: assume something is malicious, then find it.

Approving an AI add-on once isn’t enough. Enterprises need to understand what their agents are using, whether those components remain trustworthy, and when to revoke access.

You can’t secure an AI agent by looking at the agent alone. Every skill, MCP server, and plugin introduces new capabilities, new access, and new risks. Enterprises need to think beyond securing the agent and start securing everything it relies on.