Threat Hunting & KQL Content

Build a proactive hunting capability in Microsoft Sentinel - hypothesis-led hunts, reusable KQL query libraries, and operational playbooks that turn patterns into detections.

Threat hunting is the proactive process of looking for suspicious behaviour that may not be detected by scheduled analytics rules or security tooling. Microsoft Sentinel provides hunting capabilities and built-in hunting queries designed to help analysts ask the right questions of the data they already have, and to convert insights into investigations and improvements.

LW IT Solutions delivers hunting capability as a practical outcome: a curated KQL library, repeatable hunt playbooks, and a workflow for turning hunting discoveries into tuned detections. We start by aligning hunts to your threat profile and available telemetry, then implement query packs and operational guidance so hunting becomes an effective habit - not an occasional, ad-hoc activity that depends on one person.

Talk through your requirements and leave with a clear next-step plan.

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Service Overview

Highlights

Curated KQL libraries for proactive threat hunting
Repeatable playbooks to operationalise hunting activity
Backlog of detection candidates to feed analytics tuning
Structured workflow for converting hunts into actionable security alerts
Optional workbooks for tracking outcomes and recurring threat patterns

Business Benefits

Improved threat visibility through proactive, repeatable hunting activity
Faster investigation by giving analysts ready-to-run queries and triage guidance
Better detections over time as hunts produce tuned analytics rules and measurable improvements
More resilient SOC operations by reducing dependence on individual expertise

Typical use cases

Hunting for lateral movement, privilege escalation, or unusual authentication patterns
Investigating anomalies in cloud workloads, endpoints, or email systems
Validating threat detection rules against live telemetry
Building a library of repeatable KQL queries for SOC analysts
Establishing a recurring hunt cadence to uncover threats not captured by automated rules

Objectives & deliverables

What Success Looks Like

Establish a structured threat hunting capability aligned to telemetry and risk
Provide analysts with reusable queries and operational guidance to improve response times
Generate actionable intelligence that feeds into tuned detection rules
Reduce reliance on ad-hoc, individual-driven hunting activity
Enable continuous improvement of SOC coverage through recurring hunts and backlog management

What You Get

Hunting hypothesis catalogue aligned to your telemetry and risk profile
KQL query pack (reusable library) with documentation: intent, prerequisites, and triage guidance
Operational hunting playbooks/runbooks for priority scenarios
Backlog of detection candidates and data onboarding recommendations
Optional �starter workbooks� for tracking hunting outcomes and recurring themes

How It Works

Discovery - define hunting goals, priority hypotheses, and available telemetry; confirm stakeholders and workflow ownership.
Build - develop KQL query libraries mapped to domains and hypotheses; document prerequisites and triage steps.
Operationalise - create hunting playbooks, escalation guidance, and a cadence for recurring hunts.
Validate - run initial hunts with your team, refine queries, and identify detection candidates.
Improve - convert selected hunt outcomes into detections and add continuous improvement backlog management.

Engagement Options

Hunting Workshop - identify high-value hypotheses and telemetry sources for initial hunting campaigns
Query Library Build - deliver a curated set of KQL queries for use across SOC hunting and investigations
Operationalise Hunts - implement recurring hunting cadence with playbooks and escalation guidance
Detection Enablement - convert hunt findings into tuned analytics rules and integrate into SOC operations

Common Bundles

Customers who use this service often bundle with these services

SOC Use-Case & Detection Engineering
Define SOC detection use cases and engineer Microsoft Sentinel analytics rules mapped to risk, reducing noise and improving incident focus.

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

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

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

MDR/SOC Integration & Operating Model
Integrate Microsoft security tools with SOC or MDR providers, establishing triage, escalation paths, reporting and SLAs for consistent incident handling.