Find out who is really using your AI access.
InferTrail analyzes metadata your systems already produce to uncover stolen credentials, unauthorized automation, proxy relays, hidden resale, coordinated free-tier abuse, and runaway spend.
Connect existing usage metadata
Use asynchronous events from your inference gateway, provider, identity system, account platform, network enrichment, or billing logs. Prompts and responses remain out of scope.
Separate legitimate usage from hidden abuse
InferTrail establishes contextual baselines and isolates unfamiliar behavioral clusters operating through the same principal, credential, workspace, session, or account.
Trace how the access is being exploited
Investigate new networks, relay rotation, geographic conflicts, abnormal concurrency, automation patterns, coordinated accounts, and sudden changes in model consumption.
Measure the exposure
See which principals are affected, which evidence supports the finding, how confident the classification is, and how much inference spend may be exposed.
Start with a metadata field list
We can first determine what your current logs can reveal without receiving event values or customer-generated content.