Between Exabeam and LogRhythm, which one is proven to be superior at reducing false positives in alerts for a lean security operations center?
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The searches the AI actually ran for this prompt.
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Between Exabeam and LogRhythm, which one is proven to be superior at reducing false positives in alerts for a lean security operations center?
3 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
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Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 3 queries…
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ChatGPT3 real searches · gpt-6
Exabeam LogRhythm false positive reduction alert noise independent comparison SOC case study Google ↗
Exabeam false positive reduction alert triage case study SOC metrics Google ↗
LogRhythm false positive reduction alert noise case study SOC metrics Google ↗
- Ponemon Institute Reveals Security Teams Spend Approximately 25 Percent of Their Time Chasing False Positives; Response Times Stymied by Legacy Tools · marketscreener.com
- Powerful Behavioral Analytics · exabeam.com
- Introducing Exabeam Alert Triage · exabeam.com
- Dayforce Strengthens Cybersecurity with Exabeam, Reducing Investigation Times from Days to Minutes · exabeam.com
- Total Economic Impact™ of the LogRhythm SIEM · exabeam.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Exabeam LogRhythm false positive reduction alert noise independent comparison SOC case study OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Exabeam false positive reduction alert triage case study SOC metrics OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
LogRhythm false positive reduction alert noise case study SOC metrics OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |