Kernel of Truth

Security Information and Event Management (SIEM)

Understanding and Implementing SIEM: The Heart of Modern Security Operations

A Security Information and Event Management (SIEM) solution is the central nervous system of any mature security operations team. It aggregates data, detects anomalies, and supports rapid response—turning a flood of logs into actionable security intelligence.

🧠 What is SIEM?

SIEM platforms collect and analyse log data from across an organisation’s IT environment. They enable:

  • Real-time threat detection
  • Security monitoring
  • Incident investigation
  • Compliance reporting

SIEMs correlate events across users, systems, endpoints, networks, and cloud services—surfacing suspicious activity that might otherwise go unnoticed.

🚨 Why SIEM is Essential

  • Centralised Visibility: Unifies data from endpoints, servers, firewalls, and cloud apps.
  • Faster Response: Enables analysts to detect, investigate, and contain threats more efficiently.
  • Audit and Compliance: Supports regulatory frameworks like ISO 27001, NIST, SOX, PCI-DSS, and GDPR.
  • Threat Intelligence Integration: Enriches alerts with external threat data for better prioritisation.

⚙️ My Approach to SIEM Implementation

1. Scoping and Use Case Definition

  • Identify core objectives: compliance, threat detection, insider threat monitoring, etc.
  • Define the data sources needed to support these use cases.

2. Data Onboarding

  • Integrate key log sources such as:
    • Endpoint Detection & Response (EDR)
    • Firewall and VPN logs
    • Identity and access management (e.g. Active Directory, Azure AD)
    • Cloud platforms (AWS, Azure, M365, GCP)
    • Custom applications and SaaS

3. Log Normalisation and Enrichment

  • Apply parsing and field extraction to standardise data.
  • Enrich with geo-IP, asset tags, and threat intel to improve search and correlation.

4. Alerting and Dashboards

  • Build real-time alerts and visual dashboards for:
    • Unusual login patterns
    • Privileged account activity
    • Endpoint or malware threats
    • Data exfiltration behaviours

5. Correlation and Detection Rules

  • Implement detection logic to spot multi-step attacks or lateral movement.
  • Use MITRE ATT&CK as a blueprint for advanced use case development.

6. Incident Response Integration

  • Connect SIEM with ticketing systems, SOAR platforms, or messaging (e.g. Slack, Teams).
  • Automate enrichment and playbook execution where possible.

7. Review, Tune, Repeat

  • Continually refine alert thresholds and rules.
  • Conduct threat hunting exercises to improve detection coverage.
  • Measure KPIs such as MTTD, MTTR, alert fatigue ratio.

🔝 Top SIEM Vendors in 2025

VendorStrengthsIdeal For
SplunkScalable, customisable, mature ecosystemLarge enterprises, custom pipelines
Microsoft SentinelCloud-native, tight Azure/M365 integrationMicrosoft-centric organisations
Elastic Security (ELK)Open-source base, flexible deploymentTechnical teams, cost-conscious setups
LogRhythmBuilt-in compliance, good out-of-the-box contentRegulated sectors, mid-size companies
IBM QRadarIntegrated threat intelligence, mature platformComplex, enterprise-scale environments
ExabeamBehaviour analytics, UEBA-powered detectionsInsider threats, SOC automation
SecuronixCloud-native SIEM and UEBAModern cloud-first environments
Sumo LogicSaaS SIEM, DevOps and cloud logging friendlyCloud-native and hybrid enterprises
LogPointEuropean-based, compliance-drivenGDPR-sensitive or EU organisations

SIEM success isn’t about collecting the most logs—it’s about making them meaningful. With a strategic approach and the right tooling, SIEM transforms raw data into frontline security intelligence.