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AIR

AIR is the context firewall for AI agents. AIR protects AI agents by continuously analyzing and filtering the inputs entering an agent's context, including AI add-ons, websites, internal data, and other external resources.

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48 reach 7 · trust 5 · quality 21 · freshness 15
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llms.txt
https://www.air.security/llms.txt
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6204 bytes
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#451200
Categories
AI and machine learning
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-19T10:43:23.836Z
Last checked
2026-10-21T03:40:06.675Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T03:40:02.540Z. Cached copy · Source on air.security

# AIR

> AIR is the context firewall for AI agents. AIR protects AI agents by continuously analyzing and filtering the inputs entering an agent's context, including AI add-ons, websites, internal data, and other external resources.

AIR helps enterprises secure AI agents across discovery, governance, supply-chain vetting, and runtime protection.

Official website: https://www.air.security/

## Core Product

- [AIR — The Context Firewall for AI Agents](https://www.air.security/): AIR sits between agents and the outside world, analyzing and filtering inputs before they reach an agent's context.
- AIR Control: Governs the agent fleet, including sanctioned and shadow agents, identities, permissions, configurations, and policy.
- AIR Filter: The add-on firewall for AI agents. Skills, plugins, MCP servers, sub-agents, and other AI add-ons are vetted before installation and continuously over time.
- AIR Defend: Secures the actions AI agents take at runtime, with visibility, detection, response, and prevention.
- AIR Marketplace: A trusted source of pre-vetted external and certified internal AI add-ons.

## Key Concepts

AIR focuses on securing the context and supply chain of AI agents.

Important terms:
- AI agents
- Agentic AI security
- Context firewall
- AI agent firewall
- AI add-ons
- AI agent supply chain
- AI skills
- Plugins
- MCP servers
- Sub-agents
- Agent governance
- Runtime protection
- Prompt injection
- Hidden instructions
- External instruction loading
- Supply-chain takeover
- Data exfiltration
- Excessive permissions
- Unauthorized agent actions

## Security Research

AIR publishes original security research on AI agents, AI add-ons, skills, dependencies, marketplaces, and agent supply-chain risks.

### The Story of Skills

- [The Story of Skills — How We Hijacked 26,000 Agents With One Instagram Ad](https://www.air.security/blog-posts/the-story-of-skills)
- Published June 22, 2026.
- AIR built a malicious AI skill, promoted it publicly, and demonstrated how a skill could gain control of more than 26,000 agents while avoiding detection by public security scanners.
- The research demonstrates the risks created by unvetted AI skills, external instructions, and open marketplaces.

### The Circus of Skills

- [The Circus of Skills — 17,822 Skills and 6.7M Installations Exposed to Untrusted External Instructions](https://www.air.security/blog-posts/the-circus-of-skills)
- Published June 24, 2026.
- AIR analyzed a large corpus of AI skills and found widespread exposure to untrusted external instruction sources.
- The research highlights why security teams must evaluate the external resources that AI skills and add-ons depend on, rather than only scanning their static content.

### SkillJacking
…

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