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BaselOne26 workshop tackles RAG pipeline security with ReBAC

By PulseAugur Editorial · [1 sources] ·

At BaselOne26, Sohan Maheshwar's workshop focused on securing Retrieval-Augmented Generation (RAG) pipelines. The session explored how concepts like ReBAC (Relationship-Based Access Control), inspired by Google's Zanzibar model, can be used for pre- and post-filtering to protect enterprise AI data. The goal is to ensure users only access data they are authorized to see within these systems. AI

IMPACT Securing RAG pipelines with access controls is crucial for enterprise AI adoption and data privacy.

RANK_REASON The item discusses a workshop on securing RAG pipelines, which is a specific application or tool within the AI ecosystem.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

BaselOne26 workshop tackles RAG pipeline security with ReBAC

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The item discusses a workshop on securing RAG pipelines, which is a specific application or tool within the AI ecosystem.
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product, safety
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50 days old
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    🔐 Building a RAG pipeline is one thing. Ensuring users can access only the data they're authorized to see is another. At # BaselOne26 , Sohan Maheshwar's worksh

    🔐 Building a RAG pipeline is one thing. Ensuring users can access only the data they're authorized to see is another. At # BaselOne26 , Sohan Maheshwar's workshop explores how ReBAC, the Google Zanzibar model and secure pre- and post-filtering can protect enterprise AI and RAG pi…

    LINKS chaos.social/@gazebo_c baselone.org eventfrog.ch/…/baselone-2026-745380194353…

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