Establish control, accountability, and visibility over AI usage. FireTail helps security and compliance teams govern how AI is accessed and used across the organization without slowing down innovation.
Get a single source of truth for every AI integration across the organization, regardless of where or how models are used. Centralized governance helps reduce your AI risk and standardize enforcement.
Ensure that teams follow your organization’s policies for AI usage, from prompt content rules to data handling requirements. Detect unauthorized access, misuse of LLMs, or violations of usage boundaries.
Stay ahead of regulatory developments like the EU AI Act and NIST AI Risk Management Framework. FireTail helps you document and demonstrate proper controls over AI usage in real-world environments.
Monitor prompt activity, user behavior, and model responses to identify suspicious or non-compliant actions as they happen. FireTail helps you to identify risks before they escalate into incidents.
Director of Information Security @ Global SaaS Provider
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Most teams move quickly to integrate AI tools, but governance programs often lag behind. Without centralized oversight, there’s no way to ensure usage complies with internal policy or external regulations.
Capture all interactions with AI models including prompts, responses, metadata, and user identity for continuous discovery of both workload and workforce AI usage across your organization. Understand what's happening now and build the type of informed governance policies needed to promote AI adoption with confidence.
Build your own governance policies, monitor usage, and enforce controls without blocking teams from adopting AI. FireTail allows you to design informed and effective AI governance that reflects the exact needs and requirements of your organization.
Modern enterprises need more than surface-level AI monitoring. As adoption accelerates, leaders require organizational sight, business-specific contextual intelligence, and a single contextual organizational truth to understand how AI impacts workflows, decisions, and data across the company.
Identify shadow AI tools and unmanaged model usage
Protect sensitive business documents from being exposed to LLMs
Apply policies tailored to department, role, and data sensitivity
Build a foundation of AI governance aligned to strategic visibility
FireTail delivers more than visibility, it gives you a centralized governance layer that understands your people, tools, workflows, and business context. As AI adoption accelerates across the enterprise, FireTail becomes the system of record for organizational sight, capturing every prompt, model, document, and decision with full business awareness
Find answers to common questions about protecting AI models, APIs, and data pipelines using FireTail’s AI Security solutions
AI governance is the set of policies and controls that ensure AI is used safely, responsibly, and in alignment with business and regulatory requirements. FireTail enhances this by providing organizational sight and business-specific context, so every AI action is understood within the real workflows, roles, and data that drive your organization.
The core pillars include visibility, policy enforcement, monitoring, compliance, and risk management. FireTail unifies all five by giving enterprises a contextual organizational truth that maps every AI interaction to users, systems, and business processes
Effective AI governance starts with discovering all AI usage, defining business-aware policies, and continuously monitoring activity. FireTail streamlines this by automatically mapping AI activity, enforcing contextual policies, and delivering audit-ready oversight from a single platform.
AI governance typically involves security, compliance, risk, and data leadership working together. FireTail supports all these stakeholders by providing a shared, context-rich governance layer that gives everyone the same strategic visibility into AI usage.