The Permission layer for Enterprise AI
Asgar AI makes any RAG system permission-aware in minutes, not weeks or months, helping you control what each user can see with relevant permissions.
The Challenge
Enterprise RAG systems can't safely serve internal data without solving permissions.
Data Leakage Risk
RAG returns data regardless of user permissions, exposing confidential information.
Engineering Overhead
Building custom permission frameworks requires months of work and ongoing maintenance.
Inconsistent Behavior
Permissions stay out of sync when users change roles or access levels.
Compliance Violations
Organizations can't audit data access, failing compliance requirements.
Trust Erosion
Teams don't trust AI systems with sensitive internal data.
No Integration Story
Requires rewriting pipelines to fit specific frameworks.
Key Benefits
✓ Enterprise-Grade Security
Real-time permission enforcement ensure your systems stay compliant with data governance policies. Keep sensitive data within your infrastructure while enabling AI systems to respect user permissions automatically.
✓ Integrating in Minutes, not Months
Work with any popular Identity Provider (Okta, Azure AD, etc.) and Data Source (Confluence, OneDrive, Sharepoints, Google Drive, Slack etc.). Deploy with minimal changes to your existing RAG systems.
✓ Infra-agnostic, Framework Agnostic, Drop-in Solution
Deployed in your own cloud. Zero data leaves your environment. Enterprise-grade access control for all your AI systems.
✓ Audit trails
Full audit trails for every AI response, down to the chunk and permission decision.
For Teams Shipping Internal AI Features Every Week
Internal Assistants
Ensure each user only sees what they're cleared for.
RAG Prototypes
Apply project or team boundaries without reinventing permission logic.
AI Agents
Control what your agents can read or return.
Knowledge Tools
Prevent cross-department visibility issues.
Platform Teams
Standardize access control across all internal AI apps.
A Simple Layer Between Identity and AI
1. ASGAR Permission Agent
Runs alongside your ingesting pipeline and identity provider, syncing ACLs and user access levels in real-time.
2. ASGAR Retrieval SDK
Integrates into your retrieval pipeline, Filter RAG outputs based on user permissions on source data, before passing to LLMs as context.
3. ASGAR Compliance Audit
Full audit logs of who accessed what, when, enabling compliance reporting and forensics.
Architecture Overview
Key Features
✓ Real-time Permission Syncing
Syncs access control between Okta, Azure AD, or your IdP and your original Datasource (Sharepoints, Slack, Confluence etc.) in real-time.
✓ Outputs filtering based on permissions
Filters RAG outputs based on user permissions based on source data before LLM processing.
✓ Audit Logs
Complete compliance trail showing access patterns and permission decisions.
✓ Infra-agnostic, Framework Agnostic, Drop-in Solution
Work with LangChain, LlamaIndex, LiteLLM or any curreny ingesting RAG pipeline or Identity provider you are running, easily integrated with popular data sources like Confluences, Sharepoints, OneDrive etc.
✓ Deploying into your own Environment
Deployed in your own cloud. Zero data leaves your environment. Enterprise-grade access control for all your AI systems.
✓ Chunk-based level Permission
Chunk-level permissioning ensures only the specific sections a user is allowed to see ever reach the AI system.
Why It Matters
For AI Lead, CISO
- →Safeguard sensitive data while enabling AI innovation
- →Meet regulatory requirements with audit trails
- →Reduce security risks from data leakage
For Engineers
- →No complex permission logic to build
- →Integrate in minutes, not months
- →Stop reinventing permission frameworks
We're witnessing the shift from RAG to Context and Semantic Layers where multiple AI Agents and humans collaborate on complex tasks on top of sensitive, proprietary internal data.
Asgar AI is the permission fabric that makes this possible.
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