FireTail is a security platform for discovering, securing, and monitoring APIs and AI resources across their full lifecycle. It integrates with cloud environments, code repositories, and API gateways to provide continuous visibility, risk assessment, and runtime protection for both traditional APIs and AI-powered services.
FireTail provides three dedicated dashboards—API Traffic, API Risk, and AI—to deliver real-time visibility across your organization’s API and AI activity. Each dashboard consolidates key metrics and offers dynamic filtering to help teams monitor usage, detect anomalies, and respond to emerging risks. The API Traffic Dashboard visualizes request volume, geographic distribution, and status code breakdowns, while the API Risk Dashboard calculates an overall risk score, highlights the most vulnerable APIs, and tracks malicious or suspicious traffic trends. The AI Dashboard offers centralized insights into AI service connections, usage metrics (like token volume), and resource grouping by provider. These dashboards support operational awareness and accelerate incident response with high-context, data-rich views.
Use FireTail to discover, monitor, and manage APIs and AI resources across cloud environments and code repositories. Through integrations with providers such as AWS, Azure, Google Cloud, GitHub, and GitLab, FireTail continuously scans environments to identify APIs, capturing key metadata like usage trends, risk scores, findings, and activity history. This comprehensive API inventory includes dashboards, logs, and linked resources to give you complete visibility into every endpoint, reducing the risk of shadow or zombie APIs. In parallel, FireTail offers AI inventory capabilities—identifying AI services, models, prompts, and logs. It organizes these assets by provider, tracks token usage, and surfaces critical metadata such as response formats, latency, and safety guardrails, enabling organizations to understand and manage how AI is used in their environments.
The Findings feature provides a system for detecting and tracking security risks across both APIs and AI systems. For APIs, it identifies misconfigurations and vulnerabilities such as broken authentication, insecure input handling, and excessive data exposure, using industry frameworks like OWASP and MITRE for alignment. In the context of AI, findings capture instances where models produce unsafe, misleading, or unintended outputs—such as leaking sensitive data, generating malware, or responding to adversarial prompts and jailbreak attempts. The system also monitors operational anomalies like elevated latency, spikes in token usage, and exposure of personally identifiable information in logs. Findings are generated from multiple sources, including API specifications, repository scans, usage logs, and active security scans, ensuring a continuously updated view of an organization’s posture. Each finding includes a clear description and remediation guidance. This enables the detection of misuse early, improves system resilience, and maintains alignment with security best practices.
FireTail’s API incident response system is designed to address the unique challenges of API security incidents.
FireTail provides detailed information for each incident, including:
This rich contextual data facilitates collaboration between security teams and developers to remediate vulnerabilities and improve API security practices.
Actions are FireTail’s automated security workflows, designed to test and monitor your APIs with minimal manual effort. They support both event-driven and scheduled execution, enabling organizations to trigger scans based on API activity or at fixed time intervals. Each Action can be built using either custom integrations (e.g., your own Lambda or Webhook) or managed actions—ready-to-use tools provided by FireTail for specific scanning tasks.
FireTail’s managed actions perform deep and wide-ranging security checks, with over 3,000 tests available. These include:
Actions can be fine-tuned with configurable parameters including authentication, headers, context keys, and more. Whether you're integrating them into an automated CI/CD pipeline or responding to live API events, Actions allow security teams to validate API resilience continuously and with precision.
FireTail offers open-source code libraries that are compatible with leading programming languages and cloud platforms, enabling easy integration into development workflows. These libraries convert API specification files into runtime security checks, addressing key attack vectors responsible for a significant portion of API breaches. Logs generated by the libraries are sent to the FireTail cloud service, providing centralized logging and application-layer visibility. This includes request and response payloads, with personally identifiable information (PII) automatically masked for privacy and compliance purposes.
FireTail centralizes API activity logging to provide actionable insights and enable threat detection.
FireTail’s alerting system enables proactive monitoring of your API and application environment by triggering notifications based on specific conditions or anomalies. You can set static alerts, which are triggered when predefined threshold values are reached, or anomaly alerts, which use historical data to detect unusual activity that falls outside normal patterns. FireTail also provides preconfigured managed alerts designed to identify common security threats, such as SQL injection or unauthorized access attempts. Alerts can be integrated with various notification channels like Slack, Jira, or SIEM systems. This ensures you are quickly informed of potential issues, enabling swift response and resolution.
FireTail is a comprehensive security platform designed to protect APIs and AI resources throughout their entire lifecycle. It integrates with cloud platforms, code repositories, and API gateways, enabling continuous discovery, inventory management, and real-time monitoring of both APIs and AI services. Built on established security frameworks and best practices, FireTail provides advanced tools for assessing security posture, logging activity, and responding to incidents. It helps organizations identify vulnerabilities, detect threats, and implement effective mitigation strategies.
With FireTail, you gain deeper visibility into your API and AI environments, enabling proactive monitoring of traffic and resource usage. Its rich contextual data supports rapid response to security events, ensuring that security risks are addressed promptly. This comprehensive approach helps reduce breach potential, maintain compliance, and improve the overall reliability and security of both API and AI infrastructures.
