//// WORKLOAD AI · CENTRALIZED LOGGING & AUDIT

One record of everything your AI does.

Model calls and agent actions are scattered across providers, services and logs. FireTail centralizes and enriches AI logs in one record: when each model was called, with what inputs, and what it returned.

CODE · CLOUD · AGENTS
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FireTail centralizing a live stream of AI activity logs from multiple sources
//// THE PROBLEM

Scattered logs leave you blind.

Each AI provider and framework logs differently, if it logs at all. When something goes wrong, or an auditor asks, teams piece together evidence from systems that were never designed to work together.

Every call recorded
When each model was called, its inputs and its outputs.
Enriched with tags
Logs are tagged to surface details such as PII.
Linked to findings
Go from any security finding straight to the logs behind it.
History per model
Each model keeps its own record of calls, inputs and outputs.
//// WHERE LOGS COME FROM

One record, many sources.

FireTail connects to the places your AI already runs and brings the activity together in one place.

AWS
Bedrock
Model invocation logs, collected with AWS Lambda.
OPENAI
OpenAI usage
Logs from your OpenAI activity.
CLOUD
Cloud logs
AI activity from your cloud environments.
WORKFORCE
Employee AI
Activity from the browser extension and endpoint agents.
//// RELATED USE CASES

More ways to secure workload AI.

Agent & Model Inventory
Find every AI agent in your code and every model in your cloud, in one live inventory.
Learn more →
Automated Log Analysis & Tagging
Analyze and tag every interaction automatically, flagging PII, secrets and other sensitive content.
Learn more →
Alerts & Notifications
Get notified when an agent or model does something it shouldn't.
Learn more →
Model Risk Scoring
Score every model on its risk, so you know where to act first.
Learn more →
//// GET STARTED

Centralize your AI logs.

See every model call and agent action in one record.

Schedule a Demo