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Feature

Audit Logs

See who changed members, teams, keys, and AI settings, with the user, action, entity, time, and affected resource on every entry.

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Audit trail

Actor

User

Entity

Key + team

Action

Changed

Administrative changes to access and policy, separate from model request traffic.

Actor

Admin

User who made the change.

Action

Policy updated

Setting change recorded with time.

Resource

support-prod

Affected key or team.

New capabilities

What your team gains with Concentrate

01

Know who changed what

See the user behind every change to settings, keys, members, teams, and access, so a policy change always has a name attached to it.

02

Tie actions to resources

Connect each action to the entity it touched, like the specific key, team, or setting that changed, with a timestamp.

03

A record your reviewers trust

Give security and operations a reviewable trail for access reviews and incident write-ups, instead of reconstructing events from memory or chat history.

Who Concentrate is designed for

What audit logs cover, and what they don't

Audit logs record administrative changes: who invited a member, who tightened a key limit, who changed model access or retention. Request logs record model traffic. Security reviews need both: configuration history, and proof of who can change it.

Security and compliance

Show reviewers who changed access, spend limits, logging, and data-handling settings, with timestamps and affected resources.

IT and admin teams

Trace a policy change to the actor instead of reconstructing events from chat or memory.

Incident write-ups

Pair audit entries with request logs when an access change coincides with unusual traffic.

Separation from request logs

Request logs are traffic; audit logs are control-plane changes. Different questions, different audiences.

Feature basics

Frequently asked questions

What do audit logs track?
Audit logs track who acted, what changed, when it happened, and which entity or resource was affected.
Why are audit logs important for AI usage?
AI settings control model access, keys, spend limits, logging, and data handling, which are exactly the controls a security reviewer wants assurance over. Audit logs make changes to those controls reviewable, so an access change or a relaxed limit can be traced to who made it and when.
How are audit logs different from request logs?
Request logs record model calls, the traffic itself. Audit logs record administrative changes: who modified a key, a role, or a setting. Engineering reads request logs to debug; security reads audit logs to review access and configuration changes.
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LLM Gateway

  • LLM Gateway
  • Request Routing
  • Usage Monitoring
  • Spend Management
  • Data Security
  • Access Controls

Teams

  • AI Engineering
  • Engineering Leadership
  • Finance & Operations
  • Security & Compliance

Integrations

  • All Integrations
  • Migration Guides

Platform

  • Pricing
  • Model Fortress
  • Enterprise
  • Documentation
  • Status

Legal

  • Privacy Policy
  • Terms of Service
  • Data Processing Addendum
  • Acceptable Use Policy

Features

  • Universal API Keys
  • Spend Tracking
  • Token Allocation
  • Usage Analytics
  • Request Logs
  • Alerts
  • Data Redaction
  • Zero Data Retention
  • Audit Logs

Offices

New York

130 E 59th St, 17th floor

New York, NY 10022

Wilmington

1201 N. Market Street, Suite 200

Wilmington, DE 19801

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