SOC Use-Case & Detection Engineering

Define what you want to detect, map it to your risk, and build tuned detections in Microsoft Sentinel - so your SOC focuses on the incidents that matter.

Successful security monitoring is not achieved by ingesting more logs - it is achieved by designing detection coverage that maps to real threats and business risk. Microsoft Sentinel provides analytics rules, hunting, and content (including solutions) that can be deployed and tuned to create actionable incidents and support investigation workflows.
LW IT Solutions delivers detection engineering as an outcome-driven programme. We start with a use-case library aligned to your environment (identity, email, endpoints, cloud, and business applications), then design and implement Sentinel analytics rules, workbooks, and supporting queries. We focus on quality: reduce noise, add context, define severity and routing, and implement testing and tuning so detections stay effective over time - not just on day one.

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Service Overview

Highlights

  • Prioritised detection use-case library aligned to business and operational risk
  • Modular KQL query pack for hunting, triage, and investigation
  • Analytics rules deployed with tuning notes and severity/routing guidance
  • Workbooks and dashboards for SOC operational visibility
  • Backlog for continuous improvement and expansion of detection coverage

Business Benefits

  • Focus SOC resources on the most relevant incidents by defining meaningful detection scenarios
  • Reduce alert fatigue through tuned analytics rules and noise suppression
  • Enhance investigation efficiency with enriched, context-aware incidents
  • Maintain detection effectiveness over time with testing, tuning, and backlog-driven improvements
  • Improve reporting and situational awareness with dashboards and workbooks aligned to SOC operations

Typical use cases

  • Detecting identity compromise and anomalous logins across cloud and on-premises systems
  • Monitoring email threats and suspicious activity for phishing or data exfiltration
  • Detecting endpoint anomalies and potential malware activity
  • Tracking cloud application misuse or suspicious administrative actions
  • Prioritising and enriching incidents to improve SOC investigation efficiency

Objectives & deliverables

What Success Looks Like

  • Define and prioritise SOC use cases with clear operational impact
  • Implement and tune Sentinel analytics rules to detect meaningful incidents
  • Enhance incident triage and investigation with supporting queries and enrichment
  • Establish severity and routing guidance for consistent SOC response
  • Provide a maintainable detection backlog and operational handover for continuous improvement

What You Get

  • Use-case library: prioritised detection scenarios mapped to data prerequisites and SOC ownership
  • Deployed analytics rules (agreed scope) with tuning notes and operational guidance
  • KQL query pack supporting hunting, triage enrichment, and investigation workflows
  • Severity model and incident workflow recommendations
  • Workbook/dashboard pack for coverage and SOC operational reporting
  • Backlog for continuous improvement and future detection expansion

How It Works

  1. Use-case workshop - define goals, priority scenarios, and success criteria; validate required data sources.
  2. Design - define detection logic approach, severity/routing, and noise-control model.
  3. Build - implement analytics rules and supporting KQL; create workbooks and triage enrichment queries.
  4. Tune - validate detections in your environment; adjust thresholds, suppression, and enrichment to reduce noise.
  5. Operationalise - document runbooks and establish a cadence for ongoing tuning and backlog delivery.

Engagement Options

  • Use-Case Workshop - identify and prioritise high-value detection scenarios
  • Detection Build Sprint - implement agreed analytics rules, KQL queries, and dashboards
  • SOC Optimisation Program - continuous tuning, backlog management, and operational enhancements

Common Bundles

Customers who use this service often bundle with these services

Sentinel Deployment & Integration
Deploy Microsoft Sentinel with structured data onboarding, workspace design, RBAC, and detection content so your SOC operates effectively and predictably.

Threat Hunting & KQL Content
Build proactive threat hunting in Microsoft Sentinel using hypothesis led hunts, reusable KQL libraries and workflows that convert insights into detections.

SOAR Automation & Playbook Design
Design Microsoft Sentinel SOAR automation and playbooks that automate triage, enrichment and response, reducing analyst effort while improving incident consistency.

Log Analytics Cost Optimisation
Reduce Microsoft Sentinel and Log Analytics costs through ingestion controls, table strategy, retention and archive while preserving security outcomes.

Frequently Asked Questions

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