FireTail Centralized AI Logging

FireTail Centralized AI Logging is a platform that aggregates and normalizes logs from multiple LLM providers and AI services into a single, unified system. It addresses the fragmentation of AI logs across different providers by ingesting logs from LLM providers, cloud-based AI-as-a-service platforms, browser-based LLM usage, and internal or custom AI applications, converting them into a standardized format for consistent analysis. Captured log data includes prompts, responses, token usage, errors, and associated metadata. The platform automatically analyzes these logs to detect anomalies, misuse, and unexpected model behavior, including AI-specific threats such as multilingual manipulation, jailbreak attempts, base-64 encoded payloads, and DAN-style prompt injections. FireTail also provides real-time alerting to support incident response workflows, enabling security teams to investigate suspicious LLM activity more efficiently. PII detection is included as part of the inspection capabilities, flagging instances of potential data leakage within AI logs. Beyond security monitoring, the platform supports LLM governance and compliance use cases by retaining and standardizing logs to meet audit requirements and demonstrate responsible AI usage across teams, providers, and environments. A 14-day free trial is available.