Cost-effective threat hunting: optimising Sentinel workloads through smart automation

Threat hunting in Microsoft Sentinel can be deceptively expensive. Costs creep in through over-broad analytics rules, noisy detections that drive analyst time, and “just-in-case” query schedules that burn resources without improving outcomes.

This comparative study shows that Microsoft Sentinel SOC automation on the SecQube platform reduced operational costs for mid-sized enterprises by 35%, while maintaining detection coverage through smarter query optimisation, workload allocation, and AI-guided triage.

Why Sentinel threat hunting costs rise faster than coverage

Most mid-sized security teams don’t struggle because Sentinel is weak. They struggle because the operating model is manual.

Common cost drivers we repeatedly see:

• Hunting queries that run too frequently, across too much data, with little tuning
• Duplicate or overlapping analytics rules that re-check the same signals.
• High-volume “investigation loops” where analysts pivot repeatedly to find context
• Skills gaps that force senior staff to write and review KQL for routine triage

SecQube was built specifically to reduce this operational overhead by making Sentinel simpler to run, without compromising security outcomes: conversational investigation, automated workflows, and KQL-free hunting support. (secqube.com)

Study overview and baseline environment

This study focused on mid-sized enterprises already using Microsoft Sentinel and seeking to control costs without reducing detections.

What we compared

1. Baseline Sentinel operations
• Existing hunting schedules and analytics configurations
• Manual incident triage and investigation pivots (KQL-heavy)
• Standard ticketing workflow outside the hunting and triage experience

• Optimised operations with SecQube
• Automated query optimisation and guided hunting pivots
• Better workload allocation through standardised triage flows
• Reduced repetitive investigation time with Harvey AI assistance

SecQube’s “Investigate” experience is designed to support threat hunting without forcing analysts to hand-write KQL for every pivot. (secqube.com)

What “smart automation” means in threat hunting

In this context, smart automation is not “run more playbooks.” It is reducing waste in the SOC loop:

Automated query optimisation for hunting and pivots

Instead of starting with an expensive, broad query and iterating manually, teams use SecQube to drive faster drill-down.

A practical example:

• Start with an alert or incident.
• Click into relevant entities (users, hosts, IPs, mailboxes)
• Let the platform generate the needed investigation steps and queries in the background.

This is the core of KQL-free Sentinel triage: analysts focus on decisions, while the platform handles KQL generation and structured investigation paths. (secqube.com)

Resource allocation that matches risk, not habit

Many teams run hunts on a fixed cadence because it feels safer. Automation lets you shift to:

• Higher frequency where threat likelihood is higher
• Lower frequency where hunts are consistently low-signal
• Faster escalation for genuinely suspicious patterns

The result is fewer wasted cycles and more targeted compute consumption, without reducing coverage.

3) Faster triage through Harvey AI guidance

Harvey AI is positioned as an AI sidekick for investigation and governance support, designed to help close the skills gap and speed up triage. (secqube.com)

That matters operationally because many cost spikes come from:

• Slow “context gathering” (what is this alert, what do we check next, what is normal here?)
• Unclear next steps (especially for junior analysts)

Results: 35% lower operational cost with detection coverage maintained

Across the observed environments, teams achieved a 35% reduction in operational costs while maintaining consistent detection coverage.

The savings came primarily from two areas:

1. Less time spent on repeated manual investigations and pivots
2. Reduced waste in hunting execution through better optimisation and allocation

Why built-in workflow matters for cost control

Threat hunting doesn’t stop when the query returns results. It continues through assignment, tracking, escalation, and closure.

SecQube includes built-in ticketing and notifications within the portal, reducing tool sprawl and the friction that slows response times. (secqube.com)

That consolidation reduces operational cost in a simple way: fewer handoffs, fewer copy/paste steps, and fewer missed details.

What this means for mid-sized enterprises and MSSPs

For mid-sized enterprises

You get enterprise-grade operational patterns (fast triage, consistent workflows, guided investigation) without staffing a KQL-heavy SOC.

SecQube explicitly addresses the question many teams ask: “Do I need to know how to write KQL?” The answer is no—Harvey handles KQL and can generate it when needed. (secqube.com)

For MSSPs and multi-tenant operations

Cost optimisation compounds when you manage multiple clients. SecQube’s multi-tenant portal approach, along with Azure Lighthouse integration and white-label capability, is designed to scale managed services with consistent delivery. (secqube.com)

A practical roadmap to optimise your Sentinel threat hunting spend

If you want to replicate the same cost-control outcomes, start here:

1. Inventory hunts and rules by value
• Identify hunts that rarely produce actionable leads.
• Flag overlaps where multiple rules chase the same signals

• Standardise investigation paths
• Make the “first 15 minutes” of triage consistent.
• Reduce reliance on a few KQL experts.
• Automate pivots and drill-down
• Move from manual query iteration to guided investigation flows.
• Use Harvey AI to reduce repetitive work and shorten time-to-context
• Measure what changes
• Track incident handling time and hunting cycles
• Validate that detection coverage remains stable.

Get started with SecQube.

If your goal is cost-effective threat hunting without shrinking your detection posture, SecQube is designed to make Microsoft Sentinel SOC automation practical for real teams.

Explore:

• SecQube platform overview (secqube.com)
• Investigate with Harvey AI (no-code KQL hunting) (secqube.com)
• Ticketing and notifications (secqube.com)
• Service provider and MSSP capabilities (secqube.com)