FireTail is an AI security and governance platform focused on helping organizations see, assess, and protect AI usage wherever it appears. The platform is built to uncover both sanctioned and unsanctioned AI activity across code repositories, cloud environments, employee browsers, applications, devices, and agents, then turn that visibility into actionable security and compliance controls. Its positioning centers on giving enterprises a fast path from shadow AI discovery to governed AI adoption.
Beyond discovery, FireTail combines posture management, automated testing, centralized logging, detection and response, audit trails, and policy-based governance in a single SaaS platform. The product is designed to support both workforce AI usage and AI embedded in business systems, giving security, platform, and GRC teams a shared view of risk, usage, and evidence across the organization.
Offerings, Capabilities, and Integrations
FireTail brings together continuous AI discovery, inventorying, posture assessment, testing, monitoring, governance, and auditability in one platform. It is built to surface both employee-driven AI usage and application or infrastructure-level AI integrations, helping teams understand where AI is being used, what data is involved, and which risks require action.
Its capabilities extend into policy enforcement and operational response. FireTail supports prebuilt and custom controls aligned to common security and governance frameworks, and it integrates with cloud environments, code repositories, and collaboration or incident-response tools so alerts and findings can flow into existing workflows. Verified integrations span AWS, Microsoft Azure, Google Cloud, GitHub, GitLab, Bitbucket, OpenAI, Slack, Microsoft Teams, Jira, PagerDuty, ServiceNow, Splunk, email, HTTP webhooks, and AWS Lambda.
Products and Services
- FireTail AI Security & Governance Platform: FireTail’s flagship platform for discovering, assessing, and protecting AI usage across workforce and workload environments, combining visibility, governance, testing, logging, detection, and audit support in one service.
- AI Discovery: Discovers AI usage across code repositories, cloud environments, APIs, and employee browsers to identify approved and unapproved AI tools, integrations, models, and agents.
- AI Inventory: Provides a centralized, real-time inventory of AI activity across internal models, third-party AI services, browser-based tools, and AI usage found in code and cloud environments.
- AI Security Posture Management: Assesses AI risk across models, agents, logs, and integrations to help teams understand exposure, prioritize findings, and improve overall AI security posture.
- AI Security Testing: Runs automated testing to identify weaknesses such as prompt injection, jailbreaks, hallucinations, and sensitive-data leakage before issues affect users or systems.
- Centralized AI Logging: Collects, normalizes, and analyzes prompts, responses, token usage, errors, and metadata from multiple AI providers and usage channels in a unified log format.
- AI Detection & Response: Uses normalized AI logs to detect threats such as PII leakage, misuse, policy violations, jailbreaks, and abnormal behavior, then supports alerting and response workflows.
- Complete AI Audit Trail: Maintains traceable records of AI interactions, including user, time, model, prompt, response, and related metadata, to support investigations, compliance, and accountability.
- AI Governance: Provides a policy and oversight layer for defining acceptable AI usage, enforcing controls, monitoring adherence, and generating audit-ready evidence for security and compliance programs.
- FireTail AI Monitor: A managed browser extension for monitoring workforce AI usage and logging interactions with browser-based AI tools such as ChatGPT, Claude, and Gemini.
Target Customers
FireTail targets organizations that need to move from ad hoc or shadow AI usage to controlled, enterprise-scale AI adoption. Its primary buyers are security teams, platform and engineering teams, AI teams, and GRC functions that need shared visibility into how AI is being used across people, systems, and environments.
The platform is well suited to enterprises using a mix of employee-facing AI tools and internally built or embedded AI services, especially those operating in cloud-centric environments or under strong compliance expectations. FireTail also addresses managed service providers that want centralized oversight and reporting across multiple client environments.
Cloud Integrations and Marketplace
- AWS Marketplace: FireTail has a verified marketplace listing for the FireTail AI Security Platform, enabling procurement through AWS Marketplace.
- Amazon Web Services: FireTail integrates with AWS for inventory scanning and logging, including support for multi-account discovery and services such as AWS Bedrock, API Gateway, ALB, AppSync, and Lambda-based collection workflows.
- Microsoft Azure: FireTail supports Azure inventory scanning for AI and API resources and provides logging integrations for Azure API Management environments.
- Google Cloud: FireTail supports Google Cloud inventory scanning for AI and API resources and offers logging integrations for Google Cloud API Gateway environments.
Key People
- Jeremy Snyder: Founder & CEO
- Riley Priddle: Cofounder and CTO
- Timo Rüppell: VP of Product
- Jordan Arnold: GTM Advisor, Director of Sales
- Alan Fagan: Marketing Director
Key Facts
- Headquarters: McLean, Virginia, United States
- Employees: Approximately 20
- Annual Revenue: $1.5M-$2.0M
- Parent Company: None
- Subsidiaries: FireTail International Ltd.
- Publicly Listed: No (privately held)
Analyst Recognitions
- Gartner: 2026 Gartner Peer Insights, API Protection market vendor profile with a 5.0/5.0 rating.
