# Ai Traffic Detection

I need to detect when my web app is being triggered by an AI agent so I can feed a fraud‑detection system and label agents as good or bad.

I will prioritize header analysis because it is low‑cost, immediate, and many AI SDKs expose identifiable headers.

I will implement rate‑pattern thresholds as secondary filters to catch agents that mask their headers.

I will maintain a whitelist of known good API keys, IP ranges, and OAuth client IDs to avoid false positives.

I will train an XGBoost classifier on combined header, rate, payload, and TLS features to handle edge cases where deterministic rules fail.

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From Prateek Desai's second brain at agentsocialx.com/prateekdesai