Uniform Security Across Data, Models and Agents
Applies consistent, fine-grained access control at the data layer so every AI query and response respects the permissions you already have, and AI never surfaces what a user isn’t entitled to see.
One Trusted Foundation: Connect, Create, Consume
Uniform security spans the Create layer of the Progress Data Platform, enforcing consistent access policy as connected data becomes governed context for the applications and agents that consume it. Explore the other capabilities in the Create layer below.
AI Breaks When Security Is an Afterthought
Enterprise AI multiplies the ways sensitive information can leak. A retrieval system that ignores permissions can surface a confidential document in an answer to someone who should never have seen it. When every chatbot, copilot and agent applies its own access logic, controls drift and gaps appear.
The durable fix is to enforce access where the data lives, so the same fine-grained rules apply whether information is read by a person, model or autonomous agent—consistently—across the estate.
Security Enforced Where the Data Lives
Uniform security means one consistent control plane for access that’s applied at the data layer and inherited by everything built on top.
Authenticates and Authorizes at the Data Layer
Fine-grained authentication and authorization are enforced on the data itself, down to the element level, not reinvented in every app or prompt.
Inherits Enterprise Permissions
Retrieval and generation respect existing entitlements automatically, so an AI response is designed to never include sources the requester isn’t permitted to see.
Is Consistent Across Models and Agents
The same policies govern people, applications, models and agents, reducing the drift and gaps that appear when each system manages access on its own.
Provides Auditable Access for Review
Access decisions are traceable, giving security and compliance teams visibility into who (or what) was permitted to see which information, and when.
Confidence to Deploy AI on Sensitive Data
When security is uniform and enforced at the source, organizations can extend AI to regulated and high-value data with more confidence.
Lower Exposure as You Scale
Extends AI to more of the business while helping reduce the risk of inappropriate data exposure, so security posture doesn’t have to be the price of AI ambition.
One Control Plane, Not Many
Enforces access once, at the data layer, instead of maintaining brittle, app-by-app security logic across every AI experience you ship.
Permission-Aware by Design
Respects the entitlements you already govern, supports least-privilege principles and provides auditable visibility into access.
See the Idea in Action: See Permission-Aware Retrieval
Pick a role. The same AI assistant returns only what that user is entitled to see—because access is enforced at the data layer, not in the prompt.
- Claims Analyst
- Clinical Nurse
- External Partner
Member Claims History
Billing & claims record
Clinical Notes & Diagnoses
Withheld; not in your entitlements
Public Benefits Summary
Published, unrestricted
Internal Pricing Policy
Withheld; not in your entitlements
As Claims Analyst
The assistant can ground answers in 2 of 4 sources. The rest never reach the model, so AI cannot surface what this user is not permitted to see.
Member Claims History
Withheld; not in your entitlements
Clinical Notes & Diagnoses
Protected health information
Public Benefits Summary
Published, unrestricted
Internal Pricing Policy
Withheld; not in your entitlements
As Clinical Nurse
The assistant can ground answers in 2 of 4 sources. The rest never reach the model, so AI cannot surface what this user is not permitted to see.
Member Claims History
Withheld; not in your entitlements
Clinical Notes & Diagnoses
Withheld; not in your entitlements
Public Benefits Summary
Published, unrestricted
Internal Pricing Policy
Withheld; not in your entitlements
As External Partner
The assistant can ground answers in 1 of 4 sources. The rest never reach the model, so AI cannot surface what this user is not permitted to see.
Built for Environments Where Access Matters
Organizations in regulated, high-trust sectors use the platform to govern access to large, sensitive content estates, applying consistent classification and control as a foundation for safe AI, such as:
$11.05B
Projected enterprise AI governance market by 2036, from $2.55B in 2026
Where Uniform Security Matters Most
Permission-Aware Knowledge Assistants
Enterprise search and chat that return answers scoped to each user’s entitlements, so confidential material stays confidential.
Learn MoreRegulated Industry AI
Financial services, healthcare, pharma and public sector deployments where access control and auditability are non-negotiables.
Governed Agent Access
Autonomous agents that act across systems through controlled, auditable access, rather than broad, unchecked reach.
Sensitive Content Consolidation
Consistent classification and access control bring under siloed, sensitive content as a foundation for AI.
Part of One Trusted Foundation
Uniform security spans the Create layer of the Progress Data Platform, enforcing consistent access policy as connected data becomes governed context for the applications and agents that consume it.
FAQs
Extend AI to Sensitive Data with Confidence
See how the Progress Data Platform applies consistent, fine-grained security at the data layer, so AI respects every permission you already govern.