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.
2 outlets in our directory ran this story, first to last over 3 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Your AI agents need a terminal, not just a vector database — VentureBeat
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/mads_hansen_27b33ebfee4c9/your-ai-database-agent-should-not-see-every-column-4fi5 |
| Publication time | Sat, 23 May 2026 00:15:46 +0000 |
| Retrieval time | 2026-05-23T00:32:03.512Z |
| Last seen | 2026-05-23T00:32:03.512Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | -hjzn2iicFw6 · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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