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.
Head of Security Operations @ US FinTech
Get Started.png)
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.
