Uncover shadow AI usage inside your organization. Scan from code to cloud to desktop to see all the usage, integration points and AI services being used.
Studies show that 90% of all AI usage today is shadow AI usage, meaning it falls outside of organizationally approved usage standards. This can be anything from desktop users chatting in a browser to developers integrating LLMs or building agentic solutions.
FireTail’s browser plugin can be silently deployed in managed browser environments to track employee interactions with AI tools across major providers. It not only detects usage, but also logs detailed request and response data for full visibility.
Discovery is just the beginning - without visibility into AI usage, you can’t assess the risks. Once identified, AI activity must be logged in a central inventory so security teams can confidently answer, “How is our organization using AI today?”
New AI usage can emerge at any point in time. Keep monitoring in place with FireTail so that as new shadow AI happens, your organization knows about it quickly and completely. Empower innovation across your teams without sacrificing security.
CTO @ B2B SaaS Platform
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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.
FireTail uses a blend of discovery methods to deliver unmatched visibility into AI usage across code, cloud, and desktop. Its integrations and tools are fast to deploy, agentless, and designed for zero-friction implementation.
How FireTail shuts down Shadow AI once and for all:
Platforms like Veracode, CyberArk, or Sonatype do not track real-time AI conversations in the browser.
FireTail captures:
Prompts
Responses
Data exposure
Tool usage frequency
No other detection method gives this level of clarity.
Competitors use generic risk models.
FireTail scores risks using AI-centric factors:
Prompt injection exposure
Sensitive data leakage
Unapproved model usage
AI provider risk
Misconfigured agent behavior
This reflects actual AI security threats, not legacy IT risks.
Platforms like Veracode, CyberArk, or Sonatype do not track real-time AI conversations in the browser.
FireTail captures:
Prompts
Responses
Data exposure
Tool usage frequency
No other detection method gives this level of clarity.
Here’s how FireTail compares to other tools:
Find answers to common questions about protecting AI models, APIs, and data pipelines using FireTail’s AI Security solutions
Shadow AI is the unapproved use of AI tools like ChatGPT, Copilot, or LLM APIs inside an organization. It creates visibility gaps, increases data exposure risk, and bypasses compliance controls. FireTail detects and logs all Shadow AI activity across browser, code, and cloud, giving security teams full visibility to prevent data leakage and policy violations.
FireTail uses multi-layer discovery to uncover Shadow AI in browsers, codebases, and cloud environments. It tracks user prompts, identifies unapproved LLM integrations, and detects AI usage hidden inside workflows or applications. All activity is centralized in a unified AI inventory for easy monitoring and risk assessment.
Most tools only monitor one area, such as SaaS apps or code scanning. FireTail provides complete end-to-end visibility including browser activity, developer LLM usage, cloud workflows, and real-time AI conversations. This allows organizations to detect Shadow AI that other platforms miss.