🚨 Microsoft Power Platform gets smarter record-level security with column-based filtering
There are plenty of organisations where record ownership simply doesn’t reflect how the business actually works.
Think about a large dataset containing thousands of records.
Perhaps each record has a Region, Department, Business Unit or another attribute that determines who should be able to access it.
Traditionally, organisations may have had to build ownership structures or complicated sharing models to achieve the required level of security.
Microsoft is now introducing an interesting alternative.
🔐 Introducing column-based security filtering
Microsoft 365 Message Center announcement MC1465569 introduces the ability for administrators to use filtered views to select and manage record-level access based on specific values within a field in Microsoft Power Platform governance and administration.
The capability is scheduled to reach Public Preview on 16 October 2026.
And while that might initially sound like a relatively technical security enhancement, I think there is a much bigger story here.
It’s about making security reflect the data itself.
From “Who owns it?” to “What does the record say?”
Traditional record-level security often revolves around ownership.
A user owns a record.
A team owns a record.
Someone is given access through sharing.
That model works well when ownership represents responsibility.
But what happens when it doesn’t?
Imagine you have a dataset containing customer information across five regions:
- UK
- Europe
- North America
- Asia-Pacific
- Middle East
You don’t necessarily want to create artificial ownership structures simply to control access.
Instead, the Region field already tells you something important:
This record belongs to the UK.
Why not use that information as part of the security model?
That’s the concept Microsoft is bringing forward.
🌍 Security based on business dimensions
The new capability allows administrators to define access using attribute values.
That could mean security based on things such as:
Region
Region = UK
Department
Department = Finance
Business Unit
Business Unit = Operations
The important point is that the security model can be aligned with business dimensions already contained within the data.
This can be particularly useful where there isn’t a meaningful concept of individual record ownership.
📊 Where could this be useful?
Microsoft specifically highlights scenarios involving reporting and aggregated datasets.
And this is where I think the capability becomes particularly interesting.
Consider an organisation with a large reporting dataset.
It might contain information covering multiple departments and regions.
There may not be an individual person who “owns” each record.
Creating artificial ownership simply to satisfy a security requirement can introduce unnecessary complexity.
Instead, the organisation could potentially use the characteristics of the data itself to help determine access.
That’s a much more natural relationship between:
Data → Business context → Security
🚀 Benefit 1: Less complexity
One of the biggest potential benefits is simplification.
Organisations often end up creating increasingly complicated security models to solve what is fundamentally a straightforward business requirement.
For example:
“People in this region should only see records relating to their region.”
You could potentially end up with ownership structures, teams, sharing rules and other mechanisms to achieve this.
Column-based filtering provides another approach:
Use the value that already exists in the data.
That could significantly simplify administration in suitable scenarios.
📈 Benefit 2: Better scalability
Complex sharing models can become increasingly difficult to manage as an organisation grows.
More users.
More teams.
More records.
More regions.
More business units.
More exceptions.
The security model can quickly become difficult to understand and maintain.
Using attributes within the data provides the potential for a more scalable approach.
Instead of maintaining thousands of individual access relationships, administrators can define security around business rules and attributes.
That is a much more appealing model for large-scale enterprise data.
🧩 Benefit 3: Security that reflects the business
This is probably my favourite aspect of this update.
Good governance should reflect how an organisation actually operates.
If the business thinks about information in terms of:
- Geography
- Department
- Business unit
- Customer segment
- Product
- Function
then it makes sense for security controls to be capable of understanding those same dimensions.
You’re effectively moving from:
“Who owns this information?”
towards:
“What does this information represent?”
That is a subtle but important shift.
🛡️ Benefit 4: Reducing artificial ownership
Microsoft specifically highlights the ability to avoid artificial ownership.
And that’s important.
Creating ownership simply because a security model requires it can result in a structure that doesn’t accurately represent the organisation.
You end up with:
“This team owns the record because we need someone to own the record.”
rather than:
“This record belongs to this business area, and access should reflect that.”
The latter is much closer to how organisations often think about their information.
🔎 Benefit 5: A better fit for enterprise data governance
There is also a wider governance story here.
Data governance isn’t simply about knowing where information is.
It’s about understanding:
What is it?
Who should access it?
Why should they access it?
How should access be controlled?
Column-based security filtering potentially brings those concepts closer together.
The data already contains contextual information.
The security model can make use of that context.
That’s a very interesting direction for enterprise governance.
🤖 Why this matters in an AI world
There is another reason I think developments like this are becoming increasingly important.
We’re moving towards an environment where applications, analytics and AI increasingly interact with organisational data.
That means access control becomes even more important.
As organisations expose more data through applications, reporting and AI-powered experiences, we need security models that can operate at scale.
And that means moving beyond manually maintained access structures wherever possible.
The more intelligently we can define:
Who can access what, and why?
the stronger the foundation becomes for everything built on top of that data.
⚠️ But don’t confuse this with “security is now automatic”
This is still an administrative security capability.
Organisations will need to carefully consider:
- Which fields should influence access?
- Are those fields accurate?
- Can users modify them?
- What happens when the value changes?
- What happens when a record doesn’t contain the expected value?
- Are there exceptions?
- How will the model be tested?
- How will access be reviewed over time?
The fact that a field contains a value doesn’t automatically make it a good security boundary.
Your data quality becomes increasingly important.
If you’re going to use:
Region = UK
as part of your access model, you need confidence that “Region” is accurate, consistently populated and appropriately governed.
🧠 The bigger picture
For me, this update represents something bigger than another Power Platform security feature.
It’s part of a broader movement towards attribute-based and context-aware governance.
We’re gradually moving away from security models that simply ask:
“Who owns this?”
and towards models that can ask:
“What is this, what does it represent, and who should be able to access it?”
That is a much more sophisticated way of thinking about information security.
And as organisations continue to build larger Dataverse environments, reporting platforms and AI-powered solutions, that flexibility could become increasingly valuable.
📅 When is it coming?
According to MC1465569, the feature is scheduled to reach Public Preview on 16 October 2026.
Microsoft describes the announcement as an updated message, meaning the release information has been changed since the original announcement.
The Message Center announcement identifies this as a Power Platform capability.
💡 The Jim Talks takeaway
I think this is one of those updates that could easily be overlooked because the technical description doesn’t immediately convey the potential impact.
But the underlying idea is powerful:
Why create complicated ownership structures when the data itself already tells us how access should work?
For organisations with large datasets, reporting environments and complex business structures, the ability to define record-level access around meaningful business attributes could provide:
Less administration.
Greater scalability.
Simpler security models.
Better alignment between data and governance.
And perhaps most importantly:
Security that reflects the way the organisation actually thinks about its information.
That’s a direction I’m very interested to see develop as Microsoft continues to evolve the Power Platform.
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