Why are we still seeing so many false positives in alerts with our current SIEM and what is the fastest way to suppress them today?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Why are we still seeing so many false positives in alerts with our current SIEM and what is the fastest way to suppress them today?
1 real search · 1 real-search pass
2026 SIEM alert fatigue false positive tuning suppression detection rules best practicesGoogle ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
2026 SIEM alert fatigue false positive tuning suppression detection rules best practices Google ↗
- Reduce noise and false positives · elastic.co
- Handle false positives in Microsoft Sentinel · learn.microsoft.com
- Implementing SIEM and SOAR platforms: practitioner guidance · media.defense.gov
- Using security information and event management tools to manage cyber security risks (ITSM.80.024) · cyber.gc.ca
- Building a Security Operations Centre (SOC) | Detection | Detection practices · ncsc.gov.uk