Designing Secure Power Platform Solutions with Dataverse Security Roles
Understanding Dataverse Security Roles is essential for anyone working with Microsoft Power Platform and Dynamics 365—whether you are a business user, system administrator, or developer. Security roles define who can see what and do what within Dataverse by controlling access to data, actions, and system capabilities. For business users, they ensure day-to-day work is simple and secure without exposing sensitive information. For administrators, security roles provide a structured way to enforce organizational policies, compliance, and separation of duties. For developers, they are critical to designing solutions, plugins, and integrations that respect data boundaries and avoid unintended access. A well-designed security role model balances usability, performance, and compliance, ensuring the right people have the right access at the right time—no more, no less.
Dataverse security is not about restriction — it’s about trust, clarity, and control.
Dataverse security roles control who can see what, who can do what, and how far their access goes inside Dynamics 365 and Power Platform apps.
Good security design is not just technical—it starts from business understanding and evolves through the project lifecycle.
Discovering Phase – “Who does what in real life?”
Goal
Understand the business structure and responsibilities before touching Dataverse.
Key Questions
- Who are the users?
- What roles do they play in the organization?
- Who owns data vs who only views it?
- Who approves, escalates, or manages others?
Activities
Identify personas:
- Salesperson
- Sales Manager
- Support Agent
- Supervisor
- Admin
- Integration User
Understand organizational hierarchy:
Individual → Team → Department → Organization
Identify sensitive data (financial, personal, compliance-related)
Outcome
A high-level role map, for example:
“Sales Agent should only see their own leads”
“Manager should see team data”
“Admin can manage everything”
Security roles should mirror real-world responsibilities, not job titles.
Analysis Phase – “What access is really needed?”
Goal
Translate business roles into data access needs.
What to Analyze
Tables (Entities):
- Read
- Create
- Update
- Delete
Scope of access:
- User
- Business Unit
- Parent–Child Business Units
- Organization
Examples
A support agent:
- Read & update own cases
- Read account details
- Cannot delete records
A manager:
- Read & update team cases
- Assign records
Integration user:
- Create/update records
- No UI access
Outcome
A permission matrix, mapping:
Role → Table → Privilege → Scope
Requirement Gathering Phase – “Make security explicit”
Goal
Document security clearly so there are no assumptions later.
What to Capture
- Security requirements per role
- Field-level security needs
Special rules:
Who can assign records?
Who can change status?
Who can approve or escalate?
Common Mistakes to Avoid
“Give System Admin for now”
“We’ll fix security later”
Missing integration and reporting access needs
Outcome
A signed-off security requirement document:
- Approved by business
- Understood by technical teams
Implementation Phase – Technical & Logical
Goal
Build secure, maintainable, and scalable roles in Dataverse.
Technical Implementation
- Create custom security roles
- Clone standard roles (avoid editing OOB roles)
Configure:
- Table permissions
- App access
- Misc privileges (Export, Share, Assign)
Logical Design Best Practices
Use multiple roles per user (don’t overload one role)
Separate concerns:
- Functional role (Sales User)
- Special role (Approver)
- Use Teams for shared ownership
- Apply Field-Level Security for sensitive fields
Developer Perspective
- Plugins & flows respect security context
- Avoid running everything as SYSTEM
- Handle privilege errors gracefully
Outcome
Security that:
- Matches business needs
- Is easy to maintain
- Works across apps and automation
Moving Across Environments (DEV → SIT → UAT → PROD)
Goal
Ensure security is consistent but controlled across environments.
Key Practices
Security roles move via:
- Solutions
Users & assignments:
- Done manually or via scripts
Environment-specific differences:
UAT users ≠ Prod users
Testing in Each Environment
- DEV: Developers test basic access
- SIT: Integration and end-to-end testing
- UAT: Business validates real-life access
- PROD: Minimal access, tightly controlled
Outcome
No surprises in production:
- No missing access
- No over-privileged users
Integration Phase – “Machines need roles too”
Goal
Secure system-to-system communication.
Integration Considerations
- Dedicated Application User
- Custom Integration Security Role
- Minimum required privileges only
Best Practices
No System Admin for integrations
Separate roles for:
- Read-only integrations
- Write integrations
- Monitor integration failures due to permissions
Outcome
Secure integrations that:
- Work reliably
- Don’t expose sensitive data
Migration Phase – “Protect data during movement”
Goal
Ensure data migration does not compromise security.
Migration Scenarios
- Legacy → Dataverse
- Environment → Environment
- Bulk updates
Security Considerations
- Temporary elevated roles for migration users
Post-migration cleanup:
- Remove extra privileges
Validate:
- Record ownership
- Team access
- Sharing rules
Outcome
Clean, secure data with correct ownership and access.
Key Takeaways (For Everyone)
For Business Users
- Security protects your data
- Clear roles reduce mistakes and risks
For Developers
- Security is part of design, not an afterthought
- Code must respect Dataverse privileges
For Admins
- Fewer, well-designed roles are better than many messy ones
- Regular audits are essential
“Security failures rarely come from hacking—most come from convenience.”
- Giving users System Administrator access “temporarily” and never removing it.
- Faster onboarding
- Avoids permission issues during UAT
“We’ll fix it later” mindset
- Deletes records accidentally
- Modifies views/forms
- Breaks integrations unknowingly
- Create functional roles (Sales User, Support Agent)
- Use temporary admin access via PIM-like process
- Audit admin users regularly
- Simpler to manage (initially)
- No role strategy defined
- Has reporting + approval + integration privileges
- Any small change affects many users
- Base Role (Sales User)
- Add-on Role (Manager / Approver)
- Assign multiple small roles per user
- Everything is created under one Business Unit.
- Project starts small
- Future growth not considered
- Leads
- Accounts
- Financial data
- Design BU hierarchy early
- User-level access for personal work
- BU-level for team work
- Combine BUs with Owner Teams
- Heavy use of manual record sharing.
- Quick workaround
- Security roles not flexible enough
- Performance degradation
- Unclear access ownership
- Difficult cleanup
- Teams
- Business Units
- Role-based access
- Use sharing only for exceptions
- Sensitive fields visible to all users.
- Focus only on table-level security
- Business doesn’t ask explicitly
- Credit limits
- Personal IDs
- Salary-related fields
- Use Field Security Profiles
- Role + FLS
- Restrict read/update separately
- Integration users assigned System Admin.
- Integration fails due to missing permissions
- Easier than troubleshooting
- Deletes records unexpectedly
- Updates restricted fields
- Exposes sensitive data
- Only required tables
- Only required privileges
- Monitor integration logs
- Avoids access-related blockers
- Tight timelines
- Users can’t see buttons
- Forms don’t load
- Flows fail silently
- Forms
- Views
- Commands
- Flows
- Everything runs as SYSTEM.
- Avoids security exceptions
- Easier development
- Updates records users shouldn’t touch
- Bypasses approvals
- Creates audit issues
- User context where required
- SYSTEM only when justified
- Log permission-related failures
“Custom Role 1”“Test Role Copy”
- Rapid development
- No governance
- Which role to assign
- Which one is safe to modify
- Sales – Base
- Sales – Manager
- Integration – ReadWrite
- Security never reviewed after production release.
“It’s working, don’t touch it”
- Ex-employees still have access
- Old roles remain active
- New features lack security rules
- Quarterly security audits
- Remove unused roles
- Admin users
- Integration roles
- Team memberships
Summary:
Understanding Dataverse Security Roles provides a clear view of how access and permissions are managed in Microsoft Power Platform and Dynamics 365. It explains how security roles control data visibility, actions, and system features for business users, administrators, and developers. By understanding roles, teams, and access levels, organizations can protect sensitive data, support smooth business operations, and build secure, scalable solutions. This guide helps ensure the right balance between security, usability, and compliance across all environments.
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