Building a Safe Internal AI Assistant with Amazon Kendra and Amazon Bedrock
The article discusses the need for a safe internal AI assistant to help employees access information quickly without compromising security. It highlights the challenges organizations face when employees resort to external AI tools due to inefficiencies in finding internal information. The proposed solution involves using Amazon Kendra and Amazon Bedrock to create a Retrieval-Augmented Generation (RAG) architecture that respects data privacy and enhances productivity.
- ▪Many teams use external AI tools out of necessity rather than to violate security policies.
- ▪Internal knowledge is often scattered across various platforms, making it difficult for employees to find answers quickly.
- ▪A Retrieval-Augmented Generation (RAG) assistant can provide safe, approved answers from internal sources while respecting user permissions.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3932577) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mike Anderson Posted on May 20 Building a Safe Internal AI Assistant with Amazon Kendra and Amazon Bedrock #ai #datasecurity #security #aws A practical, human guide for teams trying to reduce risky copy/paste into external AI tools Let’s start with the real problem. Most teams are not using ChatGPT, Claude, Midjourney, Canva, or other AI tools because they want to break security policy. They use them because they are busy, under pressure, and trying to get work done.
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