Why are my SIEM tools generating so many false positive alerts and how can I tune them to stop crying wolf?
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The searches the AI actually ran for this prompt.
SEED QUERY
Why are my SIEM tools generating so many false positive alerts and how can I tune them to stop crying wolf?
1 real search · 1 real-search pass
SIEM false positive alert tuning best practices detection engineering MITRE ATT&CK Sigma alert fatigue NISTGoogle ↗
OBSERVED
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.
Classifying 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
SIEM false positive alert tuning best practices detection engineering MITRE ATT&CK Sigma alert fatigue NIST Google ↗
- Implementing SIEM and SOAR platforms: Practitioner guidance · cyber.gov.au
- Sightings Ecosystem: A Data-driven Analysis of ATT&CK in the Wild · web.mitre-engenuity.org
- Building a Security Operations Centre (SOC) | Detection | Detection practices · ncsc.gov.uk
- How to reduce alert fatigue in SIEM and SOC environments · www2.kaspersky.com
- Detection Engineering & Cloud Logging · mta-sts.csoh.org