//// WORKLOAD AI · LOG ANALYSIS & TAGGING

Turn AI logs into answers.

Raw logs don't tell you where the risk is. FireTail enriches AI logs with tags, redacts PII, turns risky activity into findings ranked by severity, and suggests how to fix each one.

CODE · CLOUD · AGENTS
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FireTail tagging an AI log and raising a finding with severity and remediation
//// THE PROBLEM

Too much data, not enough signal.

AI systems generate huge volumes of activity. Reviewing it by hand isn't possible, so sensitive data and risky behavior go unnoticed in the noise.

Tagging and PII redaction
Logs are tagged, such as when PII appears, and personal data is redacted from the stored record.
Severity on every finding
From Information to Critical, so you know what to handle first.
Filter and export
Filter by tag, severity, status or framework, and export to CSV.
Remediation guidance
Each finding comes with a suggested next step.
//// WHAT FIRETAIL DETECTS

Risks found in AI activity.

AI findings surface issues in the interactions between your applications and large language models.

DATA
PII leakage
Personal data shared with or returned by AI.
SECRETS
Exposed keys
Cloud secrets and keys in AI-generated responses.
ATTACKS
Jailbreaks and injection
Attempts to override a model's instructions, and encoded payloads that hide data.
CONTENT
Harmful output
Toxic, harmful or biased content generated by a model.
//// 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 →
Centralized Logging & Audit
Capture every model call and agent action in one searchable, audit-ready record.
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

See what's hiding in your AI logs.

Find the sensitive data and risky activity in your AI systems.

Schedule a Demo