What’s New in Microsoft Intune Suite in 2024
In 2024, Microsoft introduced a major enhancement to Intune Suite by natively integrating Kusto Query Language. Instead of treating device telemetry as static logs, KQL turns it into a flexible query surface that can be filtered, aggregated, and correlated in seconds. This upgrade gives IT teams the ability to investigate performance, compliance, and security signals without exporting data to external tools.
The integration also unlocks multi-device querying as a first-class capability. Administrators are no longer limited to troubleshooting one laptop or mobile device at a time; they can evaluate thousands of endpoints simultaneously, apply consistent criteria, and immediately see which areas of the fleet require attention.
How KQL Enhances Day-to-Day Device Operations
KQL brings an analytical mindset to device management. Every event, policy result, and health metric collected by Intune becomes part of a searchable dataset. Instead of relying on guesswork or incomplete reports, IT professionals can express their questions as KQL queries and receive precise answers backed by live data.
As a result, routine diagnostics evolve from a manual process into a repeatable workflow. Teams can store frequently used queries, share them with colleagues, and use them as building blocks for dashboards and automated remediation rules.
Real-Time Device Data Analysis
When a user reports that their device is running slowly or behaving unexpectedly, KQL allows administrators to move from symptom to root cause with minimal delay. They can instantly pull performance counters, error logs, and configuration details for that endpoint or for a cohort of similar devices.
Because queries are executed against near real-time data, support teams can confirm whether the issue is isolated, tied to a specific update, or part of a wider pattern. This shortens resolution time and reduces the number of follow-up interactions required to restore productivity for affected employees.
Spotting Issues Before Users Notice Them
One of the strongest advantages of KQL is its ability to surface anomalies that would be easy to miss in traditional reports. Sudden spikes in failed sign-ins, repeated crashes of a business-critical application, or an unusual increase in CPU temperature across a group of devices can all be detected through scheduled or on-demand queries.
By tracking these signals over time, organizations can move toward a proactive operations model. Instead of waiting for service desk tickets to accumulate, they can identify unstable builds, misconfigured policies, or emerging security threats and address them before they cause visible disruption.
Automating Repetitive Remediation Tasks
Once reliable patterns have been captured in KQL queries, the next logical step is automation. Intune Suite can use query results as triggers for predefined actions: collecting richer diagnostics, enforcing a specific configuration baseline, or initiating a controlled restart of affected devices during a maintenance window.
This automation significantly reduces the amount of manual effort spent on known recurring issues. Engineers focus on designing robust remediation workflows and improving policies, while routine fixes are executed consistently by the platform itself, without the risk of human error or inconsistent handling.
Managing Thousands of Devices with Multi-Device Queries
In large or globally distributed organizations, understanding the health of the entire device estate is a constant challenge. Multi-device queries in Intune allow teams to evaluate compliance status, patch levels, and configuration drift across hundreds or thousands of endpoints in a single operation.
Instead of building separate reports for each region or department, administrators can filter and group results by location, device type, ownership model, or business unit. This makes it easier to prioritize remediation, rollout updates in a controlled way, and ensure that critical policies are consistently applied.
Why This Matters for the Business
The combination of Intune Suite and KQL delivers value far beyond the IT department. Faster incident resolution translates directly into fewer interruptions for employees and more predictable operations for business owners. When devices remain healthy and secure, frontline workers, knowledge staff, and executives can stay focused on their core responsibilities.
At the same time, a data-driven approach to device management reduces operational risk. Early detection of configuration issues and suspicious activity lowers the likelihood of large-scale outages or security incidents that could impact customers, partners, or regulators.
Time Savings and Reduced Operational Overhead
Automation and reusable queries help IT teams reclaim hours that were previously spent on reactive fixes. Instead of manually inspecting logs from individual devices, specialists can work with aggregated data and let the platform handle repetitive work. This allows organizations to support more users with the same or smaller headcount.
Security, Scalability, and Cost Control
Stronger visibility into device behavior naturally strengthens security. Suspicious sign-in behavior, non-compliant configurations, and unpatched systems are easier to identify and address when every signal is queryable. As the environment grows from dozens to thousands of endpoints, the same KQL-based workflows continue to work without major redesign.
Better insight and automation also help contain costs. Organizations can reduce downtime, limit the impact of incidents, and avoid overprovisioning hardware or licenses by basing their decisions on accurate, up-to-date information about how devices are actually used.
Who Benefits Most from Intune with KQL
Any organization that relies heavily on laptops, desktops, mobile devices, or IoT endpoints can benefit from Intune’s KQL integration. The more diverse and distributed the environment, the greater the impact of having a single, queryable view of device health and compliance.
For companies looking to modernize endpoint management, Intune Suite with KQL offers a practical way to move from reactive troubleshooting to predictive, insight-driven operations. It provides the analytical foundation required to keep devices secure, performant, and aligned with business priorities as the environment continues to evolve.