Perform systematic alert triage in Elastic Security SIEM to rapidly classify, prioritize, and investigate security alerts for SOC operations. Use when performing systematic alert triage in elastic security siem to rapidly.
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name
performing-alert-triage-with-elastic-siem
description
Perform systematic alert triage in Elastic Security SIEM to rapidly classify, prioritize, and investigate security alerts for SOC operations. Use when performing systematic alert triage in elastic security siem to rapidly.
Alert triage in Elastic Security is the systematic process of reviewing, classifying, and prioritizing security alerts to determine which represent genuine threats. Elastic's AI-driven Attack Discovery feature can triage hundreds of alerts down to discrete attack chains, but skilled analyst triage remains essential. A structured triage workflow typically takes 5-10 minutes per alert cluster using Elastic's built-in tools.
When to Use
Trigger phrases:
"performing alert triage with elastic siem"
"Perform systematic alert triage in Elastic Security SIEM to rapidly classify, pr"
When conducting security assessments that involve performing alert triage with elastic siem
When following incident response procedures for related security events
When performing scheduled security testing or auditing activities
When validating security controls through hands-on testing
Prerequisites
Elastic Security deployed (version 8.x or later)
Elastic Agent or Beats configured for endpoint and network data collection
Detection rules enabled and generating alerts
Elastic Common Schema (ECS) compliance across data sources
Analyst access to Kibana Security app with appropriate privileges
Alert Triage Workflow
Scope the task — define objectives, boundaries, and success criteria
Gather information — collect all necessary data and context before proceeding
Execute the core workflow — follow the domain-specific steps methodically
Validate results — verify outputs against expected outcomes or baselines
Document findings — record results, anomalies, and recommendations
Step 1: Initial Alert Assessment (2 minutes)
When viewing an alert in Elastic Security, review the alert details panel:
Alert Details Panel:
- Rule Name and Description
- Severity and Risk Score
- MITRE ATT&CK Mapping
- Host and User Context
- Process Tree (for endpoint alerts)
- Timeline of related events
Key Fields to Examine First
Field
Purpose
ECS Field
Rule severity
Initial priority assessment
kibana.alert.severity
Risk score
Quantified threat level
kibana.alert.risk_score
Host name
Affected system
host.name
User name
Affected identity
user.name
Process name
Executing process
process.name
Source IP
Origin of activity
source.ip
Destination IP
Target of activity
destination.ip
MITRE tactic
Attack stage
threat.tactic.name
Step 2: Context Gathering (3 minutes)
Query Related Events with ES|QL
FROM logs-endpoint.events.*
| WHERE host.name == "affected-host" AND @timestamp > NOW() - 1 HOUR
| STATS count = COUNT(*) BY event.category, event.action
| SORT count DESC
Find All Activity from Suspicious User
FROM logs-*
| WHERE user.name == "suspicious-user" AND @timestamp > NOW() - 24 HOURS
| STATS count = COUNT(*), unique_hosts = COUNT_DISTINCT(host.name) BY event.category
| SORT count DESC
Check for Related Alerts from Same Source
FROM .alerts-security.alerts-default
| WHERE source.ip == "10.0.0.50" AND @timestamp > NOW() - 24 HOURS
| STATS alert_count = COUNT(*) BY kibana.alert.rule.name, kibana.alert.severity
| SORT alert_count DESC
Investigate Lateral Movement from Same IP
FROM logs-system.auth-*
| WHERE source.ip == "10.0.0.50" AND event.outcome == "success"
| STATS login_count = COUNT(*), hosts = COUNT_DISTINCT(host.name) BY user.name
| WHERE hosts > 3
FROM logs-ti_*
| WHERE threat.indicator.ip == "203.0.113.50"
| KEEP threat.indicator.type, threat.indicator.provider, threat.indicator.confidence, threat.feed.name
Check File Hash Against Known Threats
FROM logs-endpoint.events.file-*
| WHERE file.hash.sha256 == "abc123..."
| STATS occurrences = COUNT(*) BY host.name, file.path, user.name
Step 4: Classification Decision (2 minutes)
Classification
Criteria
Action
True Positive
Confirmed malicious activity
Escalate to incident, begin containment
Benign True Positive
Expected behavior matching rule
Document in alert notes, acknowledge
False Positive
Rule triggered on benign activity
Mark as false positive, create tuning task
Needs Investigation
Insufficient data for determination
Assign for deeper investigation
Step 5: Documentation and Escalation (1 minute)
For each triaged alert, document:
Classification decision with rationale
Evidence artifacts examined
Related alerts or investigations
Recommended next steps
Detection Rules for Triage
This section covers detection rules for triage for performing alert triage with elastic siem.
Ensure all prerequisites are met before proceeding
Follow the documented workflow steps in sequence
Record results and any anomalies encountered during this phase
Pre-Built Detection Rules
Elastic Security includes 1000+ pre-built detection rules organized by:
MITRE ATT&CK Tactic: Initial Access, Execution, Persistence, etc.
Platform: Windows, Linux, macOS, Cloud
Data Source: Endpoint, Network, Cloud, Identity
Custom Alert Correlation Rule
{"name":"Multiple Failed Logins Followed by Success","type":"threshold","query":"event.category:authentication AND event.outcome:failure","threshold":{"field":["source.ip","user.name"],"value":5,"cardinality":[{"field":"user.name","value":3}]},"severity":"high","risk_score":73,"threat":[{"framework":"MITRE ATT&CK","tactic":{"id":"TA0006","name":"Credential Access"},"technique":[{"id":"T1110","name":"Brute Force"}]}]}
AI-Assisted Triage
This section covers ai-assisted triage for performing alert triage with elastic siem.
Ensure all prerequisites are met before proceeding
Follow the documented workflow steps in sequence
Record results and any anomalies encountered during this phase
Elastic AI Assistant Integration
Open alert in Elastic Security
Click AI Assistant panel
Use quick prompts:
"Summarize this alert" - Get initial assessment
"Generate ES|QL query to find related activity" - Expand investigation
"What are the recommended response actions?" - Get playbook guidance
"Is this likely a false positive?" - Get AI confidence assessment
Attack Discovery
Elastic's Attack Discovery automatically:
Groups related alerts into attack chains
Maps alerts to MITRE ATT&CK kill chain stages
Filters false positives using ML models
Prioritizes based on business impact
Provides narrative summary of the attack
Triage Prioritization Matrix
Risk Score
Severity
Asset Criticality
Response SLA
90-100
Critical
High
15 minutes
70-89
High
High
30 minutes
70-89
High
Medium
1 hour
50-69
Medium
Any
4 hours
21-49
Low
Any
8 hours
1-20
Informational
Any
24 hours
Triage Metrics and KPIs
Metric
Target
Measurement
Mean Time to Triage (MTTT)
< 10 minutes
Time from alert creation to classification
False Positive Rate
< 30%
False positives / total alerts
Escalation Rate
10-20%
Escalated alerts / total alerts
Alert Coverage
> 80%
Triaged alerts / generated alerts per shift
Reclassification Rate
< 5%
Changed classifications / total classified
When NOT to Use
You don't have explicit written authorization to test
Task is about defense/detection, not offense (use detection skills)
You need to implement security controls (use implementing-* skills)
