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GCP Vertex AI High Request and Token Volume

Detects a high number of Vertex AI prompt-response log rows and high total token usage for one model in the lookback window. Totals use provider usage_metadata.total_token_count (includes thinking tokens when…

Description

Detects a high number of Vertex AI prompt-response log rows and high total token usage for one model in the lookback window. Totals use provider usage_metadata.total_token_count (includes thinking tokens when billed). High request and token volume can indicate model extraction, quota abuse, or a compromised caller. Tune thresholds for your baseline.

Detection logic

Its licence does not clear it for publishing here

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Detection requirements

Platform
ContainersIaaSLinuxmacOSSaaSWindows

The rule states no platform. This is derived from the ATT&CK technique it maps to.

Known benign triggers

  • Approved batch evaluation or high-traffic applications. Raise thresholds above the normal peak per model.

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