Row-level security enforced server side, before any query runs. Set rules from user and org properties, test them as any user, and deploy one agent to thousands of tenants. The agent never sees the rules, so it can't bypass them.
Hey Product Hunt, Ka Ling from Upsolve AI.
The first question every security team asks about a data agent is: what stops it from showing one customer another customer's data? If your answer is "the prompt", you don't have an answer.
Upsolve Row-Level Security takes permissions out of the agent entirely. You register orgs and users with properties like country or tenant ID, then set global rules (column country = user.country) or write your own SQL rules per table. Every query, whether the agent or a person wrote it, gets pre-filtered on the server before it runs. The agent never even sees the rules.
You can test any rule as any user before you ship. In the demo, Grace sees four APAC countries and Carlos sees only Brazil, from the same agent.
This is what lets you put one agent in front of thousands of tenants. How are you handling permissions for AI features today?
Hi ! sharing live numbers with customers always gave me a small knot in my stomach, that worry someone catches a figure meant for another account. This is the kind of thing that'd let me relax about it.
Ka Ling, testing a rule as a particular user before shipping it stood out to me. Much easier to check what a customer will actually see when the permissions are enforced before the query runs. Congrats on the launch!
Hey, congrats on the Upsolve Row-Level Security launch! We're sharing a launch day with Benson: https://www.producthunt.com/products/benson-2. Would appreciate a comment or a little support if you have time today. Wishing you a great launch!
Agree with "if your answer is the prompt, you don't have an answer". We run AI agents for many stores, and keeping one store's customers away from another store's agent is the one thing I would never leave to the model. One question: the rules are on tables and columns. What happens when the agent calls a tool or an API instead of writing SQL, say fetching an order from Shopify? Is that outside what this covers?
"If your answer is the prompt, you don't have an answer" is spot on. Same thing goes for quality: you enforce it in infrastructure, you don't ask for it in a CLAUDE.md. Do you log denied queries back to the agent so it learns the boundary, or does it stay invisible to it?
About Upsolve Row-Level Security on Product Hunt
“Data permissions your AI agent can't talk its way past”
Upsolve Row-Level Security launched on Product Hunt on October 13th, 2026 and earned 87 upvotes and 13 comments, placing #24 on the daily leaderboard. Row-level security enforced server side, before any query runs. Set rules from user and org properties, test them as any user, and deploy one agent to thousands of tenants. The agent never sees the rules, so it can't bypass them.
Upsolve Row-Level Security was featured in Analytics (174.1k followers), Artificial Intelligence (481.3k followers) and Security (3k followers) on Product Hunt. Together, these topics include over 153.5k products, making this a competitive space to launch in.
Who hunted Upsolve Row-Level Security?
Upsolve Row-Level Security was hunted by Ka Ling Wu. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Upsolve Row-Level Security has received 2 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
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Ka Ling Wu