
Discover the AI usage inside your organization. Scan from code to cloud to desktop to see all the usage, integration points and AI services being used.
Get a clear understanding of your AI risk exposure in minutes, not months.
Schedule a DemoGet a complete picture of AI activity across code repositories, cloud environments, APIs, and employee browsers
Maintain an up-to-date and complete inventory for visibility, governance, and audit readiness
Detect AI usage involving PII and other regulated or confidential information
Automatically update your AI inventory as new models, tools, and integrations appear
Get the insights needed to develop informed AI governance policies what won't stifle innovation or slow AI adoption

FireTail automatically scans code repositories, cloud environments (such as AWS, Azure, and GCP), and AI service providers (including OpenAI, Anthropic, and Hugging Face) to detect both authorized and unauthorized AI integrations. This process helps identify "shadow AI" and ensures full visibility into your AI ecosystem.

Firetail’s browser plugin can be deployed in managed browser environments to capture employee browser-based AI usage with all leading providers. The FireTail plugin not only detects the usage, but logs this usage to your organization’s Firetail account, providing a centralized record including requests and responses.

Discovery is the first part of the process - if you don’t know about AI usage, you can’t know if it poses a risk to the organization. But once AI usage is discovered, it needs to be logged to a central inventory that information security teams can refer to in order to answer the question of “How is our organization using AI today?”

Once in place, the FireTail integrations will monitor for all new and updated AI usage. If a new model begins to be consumed, FireTail will detect and discover this AI usage and bring visibility of this into the inventory. This ensures that you have an always up-to-date record of AI exposure right across your orgnization.
CISO @ Leading Australian FinTech
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Shadow AI - unauthorized use of AI tools within an organization - poses a serious risk to security teams by creating blind spots in visibility, control, and compliance. It can lead to data privacy violations, unvetted exposure of sensitive information, and increased vulnerability to AI-specific threats like prompt injection or data poisoning. Without oversight, these tools bypass risk assessments and disrupt incident response efforts, leaving organizations exposed to legal, financial, and operational damage.


By combining multiple discovery techniques, FireTail brings unrivaled visibility to an organization's AI usage, from code to cloud to desktop. Multiple integrations and tools can be deployed quickly and easily, with zero friction and no agents required.
What FireTail Surfaces:

AI discovery identifies where AI is being used across an organization while AI logging captures detailed activity after usage is known. FireTail combines AI discovery with centralized AI logging to provide full visibility into both AI adoption and AI behavior.


Effective AI governance starts with understanding where AI exists. FireTail AI Discovery gives organizations the visibility needed to apply policies manage risk and govern AI usage with confidence.
Find answers to common questions about protecting AI models, APIs, and data pipelines using FireTail’s AI Security solutions
Yes. FireTail tracks AI usage across code, cloud environments, APIs, and browsers, giving organizations visibility into how and where AI tools and models are being used throughout the business.
FireTail detects AI usage through code scanning, cloud and API monitoring, and browser-level visibility, helping teams identify both approved and unapproved AI activity across employees and systems.
Shadow AI refers to unapproved AI tools or services used without organizational oversight. FireTail helps uncover Shadow AI to reduce security, compliance, and data exposure risks.