What machine learning capabilities actually work for reducing false positives in alerts without hiding critical zero-day threats from our analysts?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What machine learning capabilities actually work for reducing false positives in alerts without hiding critical zero-day threats from our analysts?
3 real searches · 1 real-search pass
NIST cybersecurity machine learning security operations alert triage false positives anomaly detection zero day guidanceGoogle ↗
OBSERVED
MITRE ATT&CK analytics detection engineering anomaly detection SOC alert prioritization machine learningGoogle ↗
OBSERVED
CISA guidance AI cybersecurity alert triage machine learning false positives zero-day detectionGoogle ↗
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 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
NIST cybersecurity machine learning security operations alert triage false positives anomaly detection zero day guidance Google ↗
MITRE ATT&CK analytics detection engineering anomaly detection SOC alert prioritization machine learning Google ↗
CISA guidance AI cybersecurity alert triage machine learning false positives zero-day detection Google ↗
- Alert Fatigue in Security Operations Centres: Research Challenges and Opportunities · doi.org
- NISTIR 8428 · tsapps.nist.gov
- The NCSC research problem book | AI in cyber security problems | AI3 - How can AI strengthen threat detection, triage and incident response? · ncsc.gov.uk
- Building a Security Operations Centre (SOC) | Detection | Detection practices · ncsc.gov.uk
- Visibility and Analytics Capabilities · nsa.gov
- Automation and Orchestration Capabilities · nsa.gov
- Analytics · attack.mitre.org
- Finding Cyber Threats with ATT&CK-Based Analytics · mitre.org
- Microsoft Security Copilot Security Alert Triage Agent in Microsoft Defender (Preview) - Microsoft Defender XDR · learn.microsoft.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
NIST cybersecurity machine learning security operations alert triage false positives anomaly detection zero day guidance OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
MITRE ATT&CK analytics detection engineering anomaly detection SOC alert prioritization machine learning OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
CISA guidance AI cybersecurity alert triage machine learning false positives zero-day detection OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |