ExploreGalaxyMy PathSettingsGive Feedback

New here?

A quick look at how MySkillGap works. Close it any time.

Skill Profile

Security Information & Event Management (SIEM)

Cybersecurity

"The observable action of configuring and operating a SIEM platform — ingesting log sources, building and tuning detection rules, investigating alerts, and maintaining the platform — to provide centralised visibility of security events across an organisation's technology estate and enable timely detection and response to threats."

YOUR SKILLS

Problems This Skill Solves

  • Security events occurring across hundreds of systems with no centralised visibility — a SIEM aggregates logs from all systems into a single platform where correlation rules can identify attack patterns that would be invisible within any single log source.
  • Detection rules that fire on benign activity and create alert fatigue — systematic SIEM tuning that analyses false positive rates and adjusts rule logic or exclusions reduces noise while maintaining detection coverage.
  • Incident investigations that cannot reconstruct the attack chain — a SIEM with comprehensive log retention allows investigators to search historical events to understand how an attacker moved through the environment.
  • Compliance reporting requirements for log retention and security event review — SIEM provides the technical foundation for demonstrating to auditors that security events are being collected, reviewed, and retained for the required period.

Roles That Use This Skill

1 total · 1 industry
Specialist

This skill is concentrated in one industry.

Cybersecurity / Technology / Finance

Explore this skill's neighbourhood →
Myths vs Truths
Myth

"A SIEM is mainly about log aggregation — centralise the logs, and you can detect threats across the environment."

Truth

Log centralisation is the data collection phase. A SIEM's security value comes from the detection rules, correlation logic, and analyst response processes built on top of the data. A SIEM with comprehensive log coverage and no tuned detection rules generates enormous alert volumes with no signal — alert fatigue is the most common SIEM failure mode, caused by inadequate detection engineering, not inadequate data.

Research & Outlook

Next-generation SIEM platforms are incorporating AI and ML-driven threat detection — reducing the burden of writing and maintaining rule-based detections as machine learning models identify behavioural anomalies that rule-based systems miss. SIEM is converging with SOAR (Security Orchestration, Automation and Response) and XDR (Extended Detection and Response) into unified security operations platforms. Data lake architectures are enabling cost-effective retention of large log volumes at the petabyte scale required for extended investigation capability.

See This Skill In Action

Watch a professional demonstrate Security Information & Event Management (SIEM) in a real working environment — what it looks like, how it's applied, and why it matters.

Security Information & Event Management (SIEM) in practice
A professional demonstrates this skill on the job
Subscribe for updates

Cybersecurity

Security Information & Event Management (SIEM)

1role unlocks with this skill

Also Known As

Security OperationsLog ManagementSecurity MonitoringSIEM OperationsSecurity AnalyticsSOC Technology

Growth Path

Beginner

Searches SIEM log data to investigate security alerts using predefined queries. Understands how log data from different source types (Windows event logs, firewall logs, proxy logs) differs in format and content. Runs existing detection rules and interprets their outputs. Escalates confirmed incidents with a clear evidence summary.

Intermediate

Builds and tunes SIEM detection rules — writing correlation logic, setting appropriate thresholds, and measuring false positive rates. Onboards new log sources to the SIEM. Investigates complex multi-source incidents using SIEM search and correlation. Builds dashboards for security metrics and operational monitoring. Writes SIEM-based compliance reports.

Expert

Architects the SIEM deployment — designing the log source coverage model, data pipeline, storage architecture, and detection library aligned to the organisation's threat model. Leads detection engineering as a discipline. Builds SOAR integrations for automated response to common alert types. Evaluates SIEM platform options and leads migrations. Contributes to open-source detection rule communities (Sigma, Elastic Detection Rules).

How to Practise

  • 1.Set up a free-tier Microsoft Sentinel or Elastic SIEM instance and ingest sample log data — practise writing KQL (Kusto Query Language) or Elasticsearch queries to search for specific events.
  • 2.Work through Splunk's free "Splunk Fundamentals 1" training — the most widely used SIEM in enterprise environments, and employer-valued certification.
  • 3.Build a detection rule from scratch — choose a MITRE ATT&CK technique, identify what log data would capture it, write the correlation logic, and test it against sample data that contains and does not contain the target behaviour.
  • 4.Complete Blue Team Labs Online or LetsDefend SIEM investigation challenges — realistic SOC investigation scenarios using SIEM log data.

How to Prove

  • ·Splunk Core Certified User or Splunk Enterprise Certified Admin — widely recognised SIEM-specific certifications.
  • ·Microsoft Sentinel SC-200 certification (Microsoft Security Operations Analyst) — Azure Sentinel-specific qualification.
  • ·SOC analyst role with SIEM responsibility — demonstrating live experience operating a SIEM in an operational security environment.
  • ·Detection engineering portfolio — custom detection rules written and documented, with testing methodology described.