Bring shadow AI into the light
AI usage spreads quickly across applications, APIs, development environments, and the web, often outside formal oversight. Airia identifies AI agents, LLM API calls, and MCP servers wherever they operate, then records them in a centralized inventory your team can govern.
High risk
37
Needs review
Blocked by browser extension
126
Past 30 days
Code scan findings
684
Across 26 repositories
- Airia agents
- External agents
- Models
- Data sources
- Tools
- MCP servers
- Apps
- Endpoints
- Endpoint agents
| Name | Source | Usage | Risk level | Owner | Models | |
|---|---|---|---|---|---|---|
| security-incident-summarizer | AWS | 86 uses | High | Security Operations | Claude 3.5 Sonnet | |
| Employee Policy Copilot | Copilot Studio | 1.8K uses | Low | People Operations | gpt-4o | |
| vendor-contract-reviewer | Anthropic | 214 uses | Medium | Legal | Claude 3.5 Sonnet | |
| Support Resolution Assistant | OpenAI | 3.4K uses | Medium | Customer Support | gpt-4o | |
| pull-request-risk-analyzer | AWS | 129 uses | High | Platform Engineering | Llama 3.1 70B |
Find AI wherever it runs
AI is expanding across your enterprise in SaaS tools, developer environments, APIs, and web platforms. Airia identifies AI wherever it runs so you can govern it before exposure, misuse, or compliance gaps emerge.
Gain control of shadow AI
Surface unsanctioned AI usage across your organization and bring it under centralized governance before it introduces unmanaged risk.
Track web-based AI activity
Monitor AI usage in real time across browser-based tools. Block, warn, redirect, or audit activity to prevent unauthorized data exposure.
Identify AI running on endpoints
Scan installed applications and local environments to detect AI capabilities operating outside approved frameworks.
One inventory across identity, network, apps, and code
AI Discovery brings identity, network, application, API, and code signals into one inventory, helping teams see where AI is running and who is responsible for it.
Detect AI usage tied to users and roles
Use IdP logs to find authentication patterns linked to AI systems and model use, connecting activity to individual users and roles.
Trace AI traffic across your infrastructure
Integrate with SASE and network controls to identify AI traffic and trace data flows between models and enterprise systems.
Uncover AI embedded in business-critical tools
Connect Microsoft 365, Google Workspace, and other enterprise platforms to find AI running inside SaaS applications.
Surface AI in workflows and development
Query APIs and scan code repositories to find LLM integrations, AI agents, and MCP servers before they reach production.