Better together, by design: Devicie + Microsoft Security Copilot
A look at how AI, endpoint context, and human judgment come together to shape the future of device management.
For years, device management has asked too much of IT and security teams.
Too many tools. Too many consoles. Too many manual lookups. Too much time spent hunting for answers that should be easier to find.
The future should feel different.
It should be more connected. More contextual. More intelligent. Less about chasing data across disconnected systems, and more about getting the right answer at the right moment.
That is the bigger better together story behind Devicie + Microsoft Security Copilot.
Yes, this is a plugin story. But more importantly, it is a signal of where device management is going.
It is a move toward a model where AI helps teams surface what matters faster, where endpoint context is easier to access, and where security and IT can work from a more complete picture of what is happening on the device.
More than an integration
Microsoft Security Copilot changes how teams interact with information. Instead of navigating through layers of tools and interfaces, teams can ask questions in plain language and move faster through investigations.
Devicie brings endpoint and device context into that experience, helping connect AI-driven investigation to the operational reality of the endpoint.
Because when security and IT teams investigate an issue, the next questions are often operational:
- What applications are installed on this device?
- Which devices are running this version?
- Which devices have local administrator accounts?
- Is this endpoint up to date?
- Is the hardware still under warranty?
Those are not side questions. They are often the difference between detecting an issue and being able to act on it.
What the experience supports today
Today, Devicie extends Microsoft Security Copilot with endpoint data that teams can query directly within the Copilot experience.
That includes:
Application inventory
Security and IT teams can list the applications installed on a device by username or hostname, or identify which devices are running a specific application version. This is especially useful when investigating software exposure, version drift, or the potential impact of a known vulnerability.
Device lookup
Teams can search for a device by name, filter by operating system such as Windows or macOS, and review activity across the last 90 days. Results can include username, timestamp, and Intune ID to help ground an investigation in the right device context.
Local administrator visibility
Teams can identify which devices have local administrator accounts based on device name or primary user, helping support investigations tied to privilege, access, and endpoint risk.
Warranty visibility
Teams can check the warranty status of a specific device, identify expired warranties, or find devices with warranties expiring within a defined number of days. This adds valuable lifecycle context that can influence both operational planning and risk posture.
Patch currency
Teams can check whether a device is current on feature and quality versions across Windows and macOS, making it easier to understand patch posture without jumping between systems.
These are practical questions. The kind teams ask every day. The difference is that now they can be surfaced through a more natural experience.
Why this matters
The value here is not just speed. It is context.
Security teams are under pressure to investigate faster. IT teams are under pressure to keep devices secure, current, and operational. Too often, those efforts are slowed by fragmented tools and incomplete views of device state.
When the answers live across multiple systems, even simple follow-up questions can create drag.
That is where this better together story becomes meaningful.
Microsoft Security Copilot helps teams investigate in natural language. Devicie helps bring the endpoint context needed to make those investigations more useful in practice.
Together, they help reduce the distance between question and answer, and between answer and action.
Better together, by design
Microsoft Security Copilot brings a powerful natural language experience to the security workflow.
Devicie helps bring the operational data and actions needed to make that experience useful in practice.
Together, they offer more than convenience. They point to a future model for device management and security operations: one where teams can bring together data and actions from multiple sources to alert, investigate, and respond at AI speed, with humans in the loop as needed.
That means making information easier to access, easier to understand, and easier to act on.
It also means moving away from a world where device management depends on swivel-chair workflows, disconnected consoles, and manual interpretation.
Because the future of device management should not be more complexity dressed up as progress.
It should be simpler, smarter, and more connected.
That is the better together story.
Looking ahead
What makes Devicie + Microsoft Security Copilot compelling is not just what it does today.
It is what it suggests about tomorrow.
The future of device management will not be defined by more dashboards or more fragmented workflows. It will be defined by better interaction, better context, and a clearer path from investigation to action.
That is the opportunity in front of us: bringing together data and action from multiple sources so teams can move faster at AI speed, with humans in the loop where needed.
That future is starting to take shape now.
And this is one example of what better together can look like.
Related Resources
- How to deploy Microsoft 365 Copilot on Windows devices?
- Security Copilot in Intune features overview - Microsoft Intune | Microsoft Learn
- Devicie expands browser visibility with Microsoft Edge for Business