Azure AD sign‑in logs are a goldmine for detecting compromise, but they also flood SIEMs with benign events that look suspicious at first glance. A well‑tuned correlation rule set can reduce noise while preserving detection quality. Below is a step‑by‑step guide that balances precision, maintainability, and operational overhead.
1. Start with a Baseline: Understand the Noise Profile
Before tweaking any rule, run a 30‑day baseline to capture normal activity. Export the raw sign‑in logs to a CSV or a SIEM table and run a quick aggregation:
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