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ai security
Inside Elastic InfoSec's agentic SOC: cutting alert triage from 30 minutes to under 3
Elastic's InfoSec team built an automated security operations center using native Elastic tools that triages security alerts in under 3 minutes instead of the traditional 30-minute manual process. The system uses deterministic ES|QL queries to close obvious false positives at no cost, then routes genuinely ambiguous cases to specialized AI agents across endpoint, cloud, and SaaS domains, with a final review agent documenting conclusions in Kibana cases. The approach prioritizes query-based investigation over AI inference for well-understood patterns, reducing both cost and token consumption while allowing analysts to focus on alerts requiring human judgment.
Why it matters: Security teams managing high alert volumes need to accelerate triage without adding headcount; this architecture demonstrates how to reduce investigation time by 90 percent while controlling AI inference costs and maintaining data privacy through documented zero-retention model providers.
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- First seen by Cybersecurity Tracker
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ai security
Inside Elastic InfoSec's agentic SOC: cutting alert triage from 30 minutes to under 3
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
ai security
Inside Elastic InfoSec's agentic SOC: cutting alert triage from 30 minutes to under 3
Elastic's InfoSec team built an agentic security operations center (SOC) that automates alert triage using Elasticsearch Query Language (ES|QL) queries and specialized artificial intelligence (AI) agents, reducing investigation time from 30 minutes to under 3 minutes. The system uses deterministic queries to close obvious false positives at no cost, routes ambiguous alerts to domain-specific agents for endpoint, cloud, and SaaS investigation, and delivers verdicts directly to Kibana cases. The platform runs on Elastic's native stack with inference routed only to providers with zero data retention policies.
Why it matters: Security operations teams processing tens of thousands of alerts monthly can reduce triage costs and analyst workload by automating routine investigations, freeing analysts to focus on alerts requiring human judgment and accelerating response to attacks that now compress initial access to exfiltration timelines from days to hours.
- Source published
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
ai security
Inside Elastic InfoSec's agentic SOC: cutting alert triage from 30 minutes to under 3
Elastic's InfoSec team built an agentic security operations center (SOC) that automates alert triage using Elasticsearch Query Language (ES|QL) queries and specialized artificial intelligence (AI) agents, reducing investigation time from 30 minutes to under 3 minutes. The system uses deterministic queries to close obvious false positives at no cost, routes ambiguous alerts to domain-specific agents for endpoint, cloud, and SaaS investigation, and delivers verdicts directly to Kibana cases. The platform runs on Elastic's native stack with inference routed only to providers with zero data retention policies.
Why it matters: Security operations teams processing tens of thousands of alerts monthly can reduce triage costs and analyst workload by automating routine investigations, freeing analysts to focus on alerts requiring human judgment and accelerating response to attacks that now compress initial access to exfiltration timelines from days to hours.
- Source published
- First seen by Cybersecurity Tracker