Your AI database agent should not see every column
The article discusses the importance of limiting the visibility of sensitive data to AI database agents. It emphasizes that exposing unnecessary columns can lead to data leaks and suggests implementing column-level permissions. The author advocates for using approved projections and structured refusal for sensitive fields to enhance data security.
- ▪Exposing unnecessary columns to AI database agents can lead to data leaks.
- ▪The author recommends using approved views and pseudonymized fields for data access.
- ▪Column-level permissions should be implemented to protect sensitive information.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3846701) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mads Hansen Posted on May 23 Your AI database agent should not see every column #ai #database #mcp #postgres The fastest way to leak sensitive data through an AI database agent is to expose columns the model never needed. Table access is too broad. A customer table can contain useful business fields and risky fields at the same time: account name plan renewal date usage trend email phone private notes raw payloads billing references internal flags The agent may need the first four.
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