Capture and analyze logs from all your LLM providers in one place. FireTail standardizes logs and inspects them for security threats, anomalies, and data leakage.
FireTail captures logs from multiple LLM providers and unifies them into a single format, giving you complete visibility across your AI ecosystem.
Logs are automatically analyzed to detect anomalies and patterns associated with AI-specific threats, including multilingual manipulation, jailbreak attempts, and more.
FireTail identifies advanced threats like base-64 encoded payloads, DAN-style prompt injections, and other evasion tactics often missed by traditional logging systems.
With real-time log analysis and alerting, security teams can quickly detect, investigate, and respond to suspicious activity involving LLMs.
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Each LLM provider generates logs in different formats with varying levels of detail. Without a unified view, it’s nearly impossible to spot threats or understand model behavior across tools.
FireTail ingests logs from leading LLM providers, AI-as-a-service offerings from cloud providers, browser-based LLM usage and more, and standardizes them into a common format, and analyzes them for indicators of compromise. This helps detect suspicious behavior, prevent misuse, and support investigations.
By centralizing and analyzing LLM logs, FireTail enhances your organization’s ability to detect attacks, enforce policy, and ensure safe AI use, all while reducing manual analysis workloads.
Centralized AI logs are foundational for LLM governance. By retaining and standardizing AI logs, organizations can meet audit requirements, investigate incidents, and demonstrate responsible AI usage across teams, providers, and environments.
FireTail centralizes AI logs from:
LLM providers
AI-as-a-Service platforms
Browser-based LLM usage
Internal and custom AI applications
This ensures complete visibility across your AI stack.
Find answers to common questions about protecting AI models, APIs, and data pipelines using FireTail’s AI Security solutions
Centralized AI logging brings AI logs from LLM providers AI services and applications into a single system. FireTail centralizes and normalizes these logs so teams can easily analyze AI activity and maintain visibility across their AI stack.
FireTail supports AI logs from leading LLM providers cloud based AI services and browser based AI usage. This includes prompts, responses, token usage, errors and related metadata in a unified AI logging format.
AI log analysis helps teams detect anomalies misuse and unexpected model behavior. FireTail analyzes centralized AI logs to support security monitoring incident investigations and AI governance requirements.