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Build Secure AI Experiences

Fastest way to ensure your AI-powered applications and agents respect data privileges, compliance, and security from day one.

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Open Source

Power AI Apps And Agents With Real Enterprise Data

Integrating Pebblo into your AI app is simple—just a few lines of code to unlock secure, compliant access to real enterprise data.
AI builders can focus on innovation, while Pebblo ensures data access stays secure and compliant—preventing oversharing, insider risk, and policy violations from day one.
Governance and security teams get the visibility and control they need to confidently approve AI for production—using real company data to accelerate value and deliver ROI.

// Pebblo

Pebblo Enterprise Platform

The Pebblo Enterprise Platform connects your AI apps and agents with company data sources while enforcing access control, governance & security

Safe Connectors

Out-of-the-box permissions-aware pipelines to all your enterprise data

Safe Retriever

Ensure only role-appropriate data is fetched from VectorDBs for AI context.

Safe Prompt

Removes sensitive data and prevents injection attacks.

Safe Inference

Route to policy-approved, authorized AI Model/Adapter for inference.

Data Governance and Security

Monitoring, Policy, and Security for AI apps, retrieved data, and user behavior

// BUILDERS

How AI Developers Use Pebblo

Register your AI app or agent with Pebblo and then follow these three simple steps to build secure and compliant AI experiences with real company data:

Pre-Retrieval

Sanitize user prompts before processing

Prevent data leaks, abuse, and attacks

sanitized_prompt, status = pb.safeprompt (query, user, [governance_filters])

Data Retrieval

Retrieve role-appropriate context data from VectorDB

sanitized_chunks, status = pb.search (query, user, [search_options], [data_source_list],[governance_filters])

Post-Retrieval

Generate response from one of the policy-approved AI models

‍

response_handle, status = pb.infer (context, user, [opt],[governance_filters])

// Pebblo DASHBOARD

How Data Governance & Security Teams Use Pebblo

Discover

Unified visibility into AI apps and agents, models, and ingested data. Real-time monitoring of data retrievals, user activities

Govern

Deterministically ensure AI apps, agents respect data permissions - with added semantic protections when access is mis-provisioned

Secure

Prevent insider threats from exploiting mis-provisioned access or hijacking AI behavior to extract sensitive data.

// Why Pebblo?

Move AI From POC To Production

Pebblo brings real-time data intelligence into AI pipelines—tagging, classifying, and enforcing access as data flows into retrieval systems. At query time, it applies deterministic controls to precisely filter what context is passed to the model—ensuring sensitive data stays protected and only the right information is surfaced.

This pre-response enforcement is what AI firewalls miss—and it’s what enterprises need to safely unleash AI on real business data, move beyond POCs, and unlock ROI at scale.

// OUR Architecture

The TwinGuard Architecture

Pebblo’s permissions and semantic aware AI data ingestion layer sets the stage for secure, compliant, and role-aware access to enterprise data for AI apps and agents