Feature · Upsolve Row-Level Security

Data permissions your AI agent can't talk its way past.

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 every tenant. The agent never sees the rules, so it can't bypass them.

Server-sideMulti-tenantInvisible to the agent
New · Launch Month day 2, Thu 1 Oct 2026 · Upvote on Product Hunt →
DATA SECURITY · GLOBAL RULESENFORCED
Upsolve Row-Level Security in the product
01 / The problem

"The prompt tells it not to" is not a security model.

01

Agents that enforce their own permissions can be confused, prompt-injected or simply wrong.

02

Multi-tenant SaaS can't put an agent in front of customers without hard data isolation.

03

Security reviews stall AI projects when nobody can show exactly what each user can see.

02 / How it works

From setup to production in three steps

01

Register orgs and users

Give organisations and users properties such as country, tenant or role.

02

Write rules once

Global rules like column country = user.country apply to every table that has the column. Custom SQL rules cover the rest.

03

Test as anyone

Preview any query as any user and see the exact WHERE clause Upsolve will apply before it runs.

03 / What changes

What changes with Upsolve Row-Level Security

Without Upsolve Row-Level Security

The agent is told in its prompt not to show other tenants' data, and you hope it listens.

With Upsolve Row-Level Security

Every query is pre-filtered on the server from user properties before it runs. The agent never sees the rules.

04 / What you get

Everything that ships with Row-Level Security

FILTER

Server-side pre-filters

Every query, whether an agent or a person wrote it, is filtered before it reaches your database.

SEPARATION

Invisible to the agent

Rules live outside the agent's context, keeping deterministic security separate from agentic workflows.

CONTROL

Optional or required

Choose whether a missing property skips the rule or blocks the data entirely.

SCALE

Built for multi-tenant

One agent, deployed to thousands of customers, each seeing only their own rows.

05 / Where it fits

One layer of a closed learning loop

Upsolve builds the whole stack for data agents that stay accurate in production. Every conversation feeds the next improvement.

01
Ontology
Your data described clearly. Permissions enforced deterministically, not delegated to the agent.
This feature
02
Agent harness
Snappy, reliable, accurate. Learns from real interactions and updates its skills and memory.
03
Distribution
Your product, your Slack channels, Claude. Go where your users already are.
04
Improvement loop
Live evals on real usage find the gaps, then you harden the context to close them.
06 / Launch Month

Part of Upsolve Launch Month

See all thirteen launches →
07 / FAQ

Common questions

No. Rules are applied server side as pre-filters on every query, and the agent never sees them.

Write a custom SQL rule for that table. Upsolve reads the user property and applies your SQL before anything runs.

Yes. Live views on shared canvases re-run under the viewer's own permissions.

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