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Not Just Share the Agent?\u003C/h2\u003E","\u003Ch2\u003EThe Approach: A Schema per Tenant\u003C/h2\u003E","\u003Ch2\u003EProvider Side: A Database Role, Share, and Listing per Tenant\u003C/h2\u003E","\u003Ch2\u003EConsumer Side: What the Tenant Sees\u003C/h2\u003E","\u003Ch2\u003ETenants Without Snowflake: Reader Accounts\u003C/h2\u003E","\u003Ch2\u003EOperating This at Scale\u003C/h2\u003E","\u003Ch2\u003EOther Ways to Share Tenant Data\u003C/h2\u003E","\u003Ch2\u003EWrapping Up\u003C/h2\u003E"],"fragmentPath":"/content/dam/snowflake-site/en/content-fragments/developers-blog/multitenant-sharing-cortex-agents",":type":"snowflake-site/components/quickstart/quickstart-hero","isDeveloperGuidesPage":true,"quickstartHeroTitle":{"lines":["Share Only Their Data: Per-Tenant Cortex Agents with Snowflake Listings"],"type":"heading2",":type":"snowflake-site/components/title-v2"},"quickstartHeroAuthor":"Brian Hess","quickstartHeroFirstSnowflakeFeatureTag":{"tagText":"Cortex 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shared a Cortex Agent — and all of its data — with another Snowflake account. But what if each Consumer should only ever see their own data?\u003C/em\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/blog/multitenant-sharing-cortex-agents/MultitenantShare.jpg?v=f38f0b59\" alt=\"Provider sharing tenant data to tenant Snowflake accounts\"\u003E\u003C/p\u003E\n","\u003Cp\u003EIn the \u003Ca href=\"https://www.snowflake.com/en/developers/blog/sharing-cortex-agents/\"\u003Elast post\u003C/a\u003E, we shared a Cortex Agent with another Snowflake account using a private listing. That agent could see every restaurant's data, which is fine when the Consumer is an internal team or a trusted partner. But many Snowflake customers run multitenant services: one set of tables holding data for many customers, where each customer must only ever see their own rows. If one of those customers wants to talk to their data from inside their own Snowflake account, sharing the whole agent isn't an option.\u003C/p\u003E\n","\u003Cp\u003EThe patterns we'd use inside a single account don't carry over, either. Those patterns set the tenant context in the session — the user, the role, or a session attribute — but the Provider doesn't control the Consumer's sessions. In fact, in secure views shared with another account, Snowflake returns \u003Ccode\u003ENULL\u003C/code\u003E for \u003Ccode\u003ECURRENT_ROLE()\u003C/code\u003E and \u003Ccode\u003ECURRENT_USER()\u003C/code\u003E. And we \u003Ca href=\"https://medium.com/snowflake/dont-trust-the-llm-with-tenant-isolation-multitenant-cortex-agents-on-snowflake-51267ff08bb8\"\u003Estill can't trust the LLM\u003C/a\u003E to add the right \u003Ccode\u003EWHERE\u003C/code\u003E clause.\u003C/p\u003E\n","\u003Cp\u003EIn this post we'll share a single tenant's slice of a multitenant data set — along with a Cortex Agent that can only see that slice — with the tenant's own Snowflake account, or with a Reader Account if they don't have one. The complete example is in \u003Ca href=\"https://gist.github.com/sfc-gh-bhess/79e2581dd679201a83c8fcedd03ead5f\"\u003Ethis Snowflake Notebook\u003C/a\u003E.\u003C/p\u003E\n","\u003Cp\u003EWe'll start with the approach: a schema per tenant, built from secure views over the multitenant tables. Then we'll build a database role, share, and private listing for one tenant, look at what that tenant sees on the Consumer side, and cover Reader Accounts for tenants without Snowflake. We'll finish with what it takes to run this at scale and some other ways to solve the same problem.\u003C/p\u003E\n","\u003Ch2\u003ETL;DR\u003C/h2\u003E\n\u003Cul\u003E\u003Cli\u003EFor each tenant, create a \u003Cstrong\u003Eschema of secure views\u003C/strong\u003E filtered to that tenant, and build the tenant's own Cortex Search Service, semantic view, and agent on those views.\u003C/li\u003E\u003Cli\u003EWrap the tenant's schema in a \u003Cstrong\u003Eper-tenant database role\u003C/strong\u003E, and share it through a \u003Cstrong\u003Eper-tenant share and private listing\u003C/strong\u003E. Nothing from the multitenant schema is granted.\u003C/li\u003E\u003Cli\u003EThe Consumer sees \u003Cstrong\u003Eonly their own schema\u003C/strong\u003E — not the multitenant tables, and not any other tenant.\u003C/li\u003E\u003Cli\u003ETenants without Snowflake can use a \u003Cstrong\u003EReader Account\u003C/strong\u003E, but the Provider pays for its compute.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch2\u003EWhy Not Just Share the Agent?\u003C/h2\u003E\n","\u003Cp\u003EThe agent from the last post sits on top of the multitenant \u003Ccode\u003EITEMS\u003C/code\u003E and \u003Ccode\u003EORDERS\u003C/code\u003E tables, which hold sales data for all three restaurant chains: Alice's Restaurant, Bob's Place, and Charlie's Diner. Share that agent with Alice, and Alice can ask about Bob's sales.\u003C/p\u003E\n","\u003Cp\u003EInside a single account, we'd \u003Ca href=\"https://medium.com/snowflake/dont-trust-the-llm-with-tenant-isolation-multitenant-cortex-agents-on-snowflake-51267ff08bb8\"\u003Escope the session\u003C/a\u003E — a user, role, or session attribute per tenant — and let row access policies filter the data. Across accounts, that doesn't work the same way: the Consumer's users and roles belong to the Consumer, not to us. So the tenant boundary has to live in \u003Cem\u003Ewhat we share\u003C/em\u003E, not in how a session is configured.\u003C/p\u003E\n","\u003Cp\u003EThat's the idea behind this approach. As I described in \u003Ca href=\"https://medium.com/snowflake/snowflake-cortex-and-multitenancy-e6509fd1eb5f\"\u003ESnowflake Cortex and Multitenancy\u003C/a\u003E, the data can stay in multi-tenant tables, while what we \u003Cem\u003Eshare\u003C/em\u003E is an object-per-tenant layer on top of them.\u003C/p\u003E\n","\u003Ch2\u003EThe Approach: A Schema per Tenant\u003C/h2\u003E\n","\u003Cp\u003EFor each tenant, we create a schema in the same \u003Ccode\u003EMULTISALES_SHARING\u003C/code\u003E database — \u003Ccode\u003EALICE\u003C/code\u003E, \u003Ccode\u003EBOB\u003C/code\u003E, and \u003Ccode\u003ECHARLIE\u003C/code\u003E — and fill it with secure views that select just that tenant's rows from the multitenant tables:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Alice\nCREATE SCHEMA IF NOT EXISTS alice;\nUSE SCHEMA alice;\n\n-- Data Views\nCREATE SECURE VIEW IF NOT EXISTS items AS SELECT * FROM data.items WHERE tenant = 'Alices Restaurant';\nCREATE SECURE VIEW IF NOT EXISTS orders AS SELECT * FROM data.orders WHERE tenant = 'Alices Restaurant';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EWhy \u003Ca href=\"https://docs.snowflake.com/en/user-guide/views-secure\"\u003Esecure views\u003C/a\u003E? Two reasons. With a secure view, the view definition — including the filter and the names of the other tenants — isn't visible to the Consumer. And Snowflake doesn't apply the internal optimizations that, for a regular view, could indirectly expose rows the view is supposed to hide. Shares only allow secure objects by default, for exactly this reason.\u003C/p\u003E\n","\u003Cp\u003EOn top of those views, we build the tenant's own Cortex Search Service, semantic view, and agent. They're the same definitions as before, just pointed at the tenant's views instead of the multitenant tables.\u003C/p\u003E\n","\u003Cp\u003EThe Cortex Search Service is worth calling out. Cortex Search Services don't support row access policies, so we can't build one service over the multitenant table and filter it later. The search service itself has to be built on the tenant's data — which is what building it in the tenant's schema, over the tenant's \u003Ccode\u003Eitems\u003C/code\u003E view, does.\u003C/p\u003E\n","\u003Cp\u003EThe tenant's agent points at the tenant's semantic view and search service:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-json\"\u003E"semantic_view" :"MULTISALES_SHARING.ALICE.MULTISALES_SV"\n...\n"search_service": "MULTISALES_SHARING.ALICE.ITEMS_SEARCH",\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EEverything Alice's agent touches is scoped to Alice, and all of it lives in the same database — which, as we saw last time, is what sharing an agent requires.\u003C/p\u003E\n","\u003Ch2\u003EProvider Side: A Database Role, Share, and Listing per Tenant\u003C/h2\u003E\n","\u003Ch3\u003EThe Tenant's Database Role\u003C/h3\u003E\n","\u003Cp\u003EEach tenant gets its own database role, with privileges on the objects in the tenant's schema — and nothing else:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Alice\nCREATE DATABASE ROLE IF NOT EXISTS multisales_sharing.alice_rl;\nGRANT USAGE ON DATABASE              multisales_sharing                        TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT USAGE ON SCHEMA                multisales_sharing.alice                  TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT SELECT ON VIEW                 multisales_sharing.alice.items            TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT SELECT ON VIEW                 multisales_sharing.alice.orders           TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT USAGE ON CORTEX SEARCH SERVICE multisales_sharing.alice.items_search     TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT REFERENCES ON SEMANTIC VIEW    multisales_sharing.alice.multisales_sv    TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT SELECT ON SEMANTIC VIEW        multisales_sharing.alice.multisales_sv    TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT USAGE ON AGENT                 multisales_sharing.alice.multisales_agent TO DATABASE ROLE multisales_sharing.alice_rl;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ECompare this to the last post. The grants are on the tenant's secure views (\u003Ccode\u003ESELECT ON VIEW\u003C/code\u003E), not on the tables. And notice what's missing: nothing in the \u003Ccode\u003EDATA\u003C/code\u003E schema is granted — not the multitenant tables, and not the all-tenant agent. The database role \u003Cem\u003Eis\u003C/em\u003E the tenant boundary.\u003C/p\u003E\n","\u003Ch3\u003EThe Tenant's Share and Listing\u003C/h3\u003E\n","\u003Cp\u003EEach tenant also gets its own share, with the tenant's database role granted to it:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE accountadmin;\n\nCREATE SHARE IF NOT EXISTS multisales_share_alice;\nGRANT USAGE ON DATABASE multisales_sharing TO SHARE multisales_share_alice;\nGRANT DATABASE ROLE multisales_sharing.alice_rl TO SHARE multisales_share_alice;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThat gives us three shares over one database, and the database role is what scopes each one to a single tenant.\u003C/p\u003E\n","\u003Cp\u003EThen we publish the share as a private listing for the tenant's account:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE accountadmin;\n\nCREATE EXTERNAL LISTING multisales_listing_alice \n    SHARE multisales_share_alice\n    AS\n$$\ntitle: "Multisales Listing Alice"\ndescription: "Sales agent that enables talk-to-your-data for sales data from franchises of Alices Restaurant."\nlisting_terms:\n   type: "OFFLINE"\nexternal_targets:\n   access:\n    - organization: <org>\n      accounts: [ <acct> ]\n$$\n    PUBLISH = FALSE\n    REVIEW = FALSE;\n\nALTER LISTING multisales_listing_alice PUBLISH;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EPublishing, adding targets, and the terms work exactly as they did in the \u003Ca href=\"<https://www.snowflake.com/en/developers/blog/sharing-cortex-agents/\"\u003Elast post\u003C/a\u003E.\u003C/p\u003E\n","\u003Ch2\u003EConsumer Side: What the Tenant Sees\u003C/h2\u003E\n","\u003Cp\u003EIn Alice's account, we get the listing just as before — \u003Ccode\u003ESHOW AVAILABLE LISTINGS IS_SHARED_WITH_ME=TRUE\u003C/code\u003E to find its \u003Ccode\u003Eglobal_name\u003C/code\u003E — and create a database from it:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE DATABASE multisales_alice FROM LISTING <global_name>;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis is where the approach pays off. The new database contains exactly two schemas: \u003Ccode\u003EINFORMATION_SCHEMA\u003C/code\u003E and \u003Ccode\u003EALICE\u003C/code\u003E. There's no \u003Ccode\u003EDATA\u003C/code\u003E schema, no \u003Ccode\u003EBOB\u003C/code\u003E, and no \u003Ccode\u003ECHARLIE\u003C/code\u003E. Everything Alice can see lives in her own schema:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESHOW VIEWS IN SCHEMA multisales_alice.alice;\nSHOW CORTEX SEARCH SERVICES IN SCHEMA multisales_alice.alice;\nSHOW SEMANTIC VIEWS IN SCHEMA multisales_alice.alice;\nSHOW AGENTS IN SCHEMA multisales_alice.alice;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ETo let Alice's users use the agent, grant them the shared database role (and, as before, \u003Ccode\u003ESNOWFLAKE.CORTEX_USER\u003C/code\u003E):\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EGRANT DATABASE ROLE multisales_alice.alice_rl TO ROLE <role>;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow we can ask the agent a question. Alice's users can do that in Snowsight or CoWork, but we can also call it straight from SQL with \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/functions/data_agent_run-snowflake-cortex\"\u003E\u003Ccode\u003EDATA_AGENT_RUN\u003C/code\u003E\u003C/a\u003E, passing the agent's name and a request body with the question:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT TRY_PARSE_JSON(\n  SNOWFLAKE.CORTEX.DATA_AGENT_RUN(\n    'MULTISALES_ALICE.ALICE.MULTISALES_AGENT',\n    $${\n      "messages": [\n        {\n          "role": "user",\n          "content": [\n            { "type": "text", "text": "List the available tenants and the number of store locations they have." }\n          ]\n        }\n      ]\n    }$$\n  )\n) AS resp;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe response is JSON, with the agent's answer in the \u003Ccode\u003Etext\u003C/code\u003E element of its \u003Ccode\u003Econtent\u003C/code\u003E:\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EThe data contains a single tenant, \u003Cstrong\u003EAlices Restaurant\u003C/strong\u003E, which operates \u003Cstrong\u003E4 stores\u003C/strong\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EAs far as Alice's agent is concerned, Bob's Place and Charlie's Diner don't exist.\u003C/p\u003E\n","\u003Cp\u003EEverything else on the Consumer side works the same as in the \u003Ca href=\"https://www.snowflake.com/en/developers/blog/sharing-cortex-agents/\"\u003Elast post\u003C/a\u003E: the agent runs on the user's default warehouse, it can be added to CoWork, and Alice can put her own MCP server in front of it, pointing at \u003Ccode\u003EMULTISALES_ALICE.ALICE.MULTISALES_AGENT\u003C/code\u003E.\u003C/p\u003E\n","\u003Ch2\u003ETenants Without Snowflake: Reader Accounts\u003C/h2\u003E\n","\u003Cp\u003ENot every tenant has a Snowflake account. For those, the Provider can create a \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-sharing-reader-create\"\u003EReader Account\u003C/a\u003E: a Snowflake account that the Provider creates, owns, and manages on the tenant's behalf. The tenant doesn't need to become a Snowflake customer.\u003C/p\u003E\n","\u003Cp\u003ECreating one takes \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E (or a role with the \u003Ccode\u003ECREATE ACCOUNT\u003C/code\u003E privilege) in the Provider account:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE accountadmin;\n\nCREATE MANAGED ACCOUNT reader_alice\n    ADMIN_NAME = <admin> , ADMIN_PASSWORD = '<admin_password>' ,\n    TYPE = READER;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe output includes the new account's name, locator, and login URL. Then we add the reader account to Alice's listing as another target:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER LISTING multisales_listing_alice ADD TARGETS\n$$\nexternal_targets:\n  access:\n    - organization: <org>\n      accounts: [ <acct> ]\n$$;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EFrom there, the reader account gets the listing exactly as above.\u003C/p\u003E\n","\u003Cp\u003EA few things are different about Reader Accounts, and they're worth knowing before you hand one to a tenant:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EThe Provider pays.\u003C/strong\u003E The Provider is responsible for all credits used by warehouses in the reader account — the opposite of a full Consumer account, which pays its own way. Without a resource monitor, those warehouses can consume an unlimited number of credits, so \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-sharing-reader-config\"\u003Eset one up\u003C/a\u003E.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EIt starts empty.\u003C/strong\u003E A new reader account has just its administrator. Before the tenant can use the agent, the administrator has to create users, create a warehouse (set to auto-suspend), create the database from the listing, and grant the database role and \u003Ccode\u003EUSAGE\u003C/code\u003E on the warehouse to the users' roles. Since the shared agent runs on the user's default warehouse, make that warehouse the users' default, too.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ESame region and edition.\u003C/strong\u003E A reader account is created in the same region, and with the same Snowflake edition, as the Provider account.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EThere's a limit.\u003C/strong\u003E By default, a Provider can create up to 75 reader accounts.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch2\u003EOperating This at Scale\u003C/h2\u003E\n","\u003Cp\u003EOnce this works for one tenant, a few things matter as the number of tenants grows:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EOnboarding a tenant is a recipe.\u003C/strong\u003E Each new tenant needs a schema, secure views, a search service, a semantic view, an agent, a database role, a share, and a listing. That's very scriptable, and worth scripting.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EGrants aren't automatic.\u003C/strong\u003E A database role granted to a share \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/grant-database-role-share\"\u003Edoesn't support future grants\u003C/a\u003E, and shared agents don't pick up new tools on their own. If you add an object or a tool, grant it to the tenant's database role explicitly.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EThe filter is the boundary.\u003C/strong\u003E Tenant isolation lives in the \u003Ccode\u003EWHERE tenant = '…'\u003C/code\u003E clause of each secure view. Treat those definitions like code: generate them, review them, and test them.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ECross-region is expensive.\u003C/strong\u003E If a tenant's account is in another region, \u003Ca href=\"https://docs.snowflake.com/en/collaboration/provider-listings-auto-fulfillment\"\u003ECross-Cloud Auto-Fulfillment\u003C/a\u003E can deliver the listing. But for a share of secure views, it replicates the full underlying multitenant tables — not just that tenant's rows. With many tenants spread across regions, that adds up, and it's the main reason to consider one of the alternatives below.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch2\u003EOther Ways to Share Tenant Data\u003C/h2\u003E\n","\u003Cp\u003ESchema-per-tenant with secure views is one way to share a tenant's data from a multitenant data set — not the only one. The right choice depends on how many tenants you have, how many regions they're in, and how much replication you're willing to pay for. Some other options:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003EA Dynamic Table per tenant.\u003C/strong\u003E Copy each tenant's data into its own Dynamic Table and share that. This is good for cross-region sharing, since only that tenant's data gets replicated.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOne multitenant table with a row access policy on \u003Ccode\u003ECURRENT_ACCOUNT()\u003C/code\u003E.\u003C/strong\u003E An entitlement table maps each Consumer account to its tenant value, and the policy filters on it. It's simple and the same listing can be used with multiple Consumers, but cross-region replication copies the full data set to every region.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EThe same, with secure views instead of a row access policy.\u003C/strong\u003E Same idea, same caveats.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EA Dynamic Table per destination region, plus a row access policy or secure views.\u003C/strong\u003E Each region gets a copy of just the tenants in that region, filtered with \u003Ccode\u003ECURRENT_ACCOUNT()\u003C/code\u003E and an entitlement table. You need fewer Dynamic Tables than option 1, at the cost of a little more complexity, but you can use the same listing for all Consumers in the same destination region.\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EOptions 2 through 4 rely on \u003Ccode\u003ECURRENT_ACCOUNT()\u003C/code\u003E, which is what Snowflake \u003Ca href=\"https://docs.snowflake.com/en/user-guide/views-secure\"\u003Erecommends\u003C/a\u003E for authorizing rows in shared secure views — it's the one piece of the Consumer's context the Provider can reliably check.\u003C/p\u003E\n","\u003Ch2\u003EWrapping Up\u003C/h2\u003E\n","\u003Cp\u003ESharing a Cortex Agent across accounts doesn't have to mean sharing all of your data. With a schema of secure views per tenant, a per-tenant database role, and a per-tenant listing, each tenant gets an agent that can only see their own rows — and Snowflake, not the LLM, enforces the boundary.\u003C/p\u003E\n","\u003Cp\u003ETo try it, run the notebook, publish Alice's listing to a second account (or a Reader Account), and ask the agent about the other restaurants — it won't know they exist. Then, if you have tenants in other regions, look at whether one of the alternatives fits better.\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://gist.github.com/sfc-gh-bhess/79e2581dd679201a83c8fcedd03ead5f\"\u003E\u003Cstrong\u003EGet the notebook on GitHub\u003C/strong\u003E\u003C/a\u003E\u003C/p\u003E"],"description":"","title":"Share Only Their Data: Per-Tenant Cortex Agents with Snowflake Listings",":type":"snowflake-site/components/contentfragment",":items":{},":itemsOrder":[],"elements":{"quickstartArticleBody":{"dataType":"string","value":"\u003C!-- ------------------------ --\u003E\n*In the last post, we shared a Cortex Agent — and all of its data — with another Snowflake account. But what if each Consumer should only ever see their own data?*\n\n![Provider sharing tenant data to tenant Snowflake accounts](https://www.snowflake.com/content/dam/snowflake-site/developers/blog/multitenant-sharing-cortex-agents/MultitenantShare.jpg?v=f38f0b59)\n\nIn the [last post](https://www.snowflake.com/en/developers/blog/sharing-cortex-agents/), we shared a Cortex Agent with another Snowflake account using a private listing. That agent could see every restaurant's data, which is fine when the Consumer is an internal team or a trusted partner. But many Snowflake customers run multitenant services: one set of tables holding data for many customers, where each customer must only ever see their own rows. If one of those customers wants to talk to their data from inside their own Snowflake account, sharing the whole agent isn't an option.\n\nThe patterns we'd use inside a single account don't carry over, either. Those patterns set the tenant context in the session — the user, the role, or a session attribute — but the Provider doesn't control the Consumer's sessions. In fact, in secure views shared with another account, Snowflake returns `NULL` for `CURRENT_ROLE()` and `CURRENT_USER()`. And we [still can't trust the LLM](https://medium.com/snowflake/dont-trust-the-llm-with-tenant-isolation-multitenant-cortex-agents-on-snowflake-51267ff08bb8) to add the right `WHERE` clause.\n\nIn this post we'll share a single tenant's slice of a multitenant data set — along with a Cortex Agent that can only see that slice — with the tenant's own Snowflake account, or with a Reader Account if they don't have one. The complete example is in [this Snowflake Notebook](https://gist.github.com/sfc-gh-bhess/79e2581dd679201a83c8fcedd03ead5f).\n\nWe'll start with the approach: a schema per tenant, built from secure views over the multitenant tables. Then we'll build a database role, share, and private listing for one tenant, look at what that tenant sees on the Consumer side, and cover Reader Accounts for tenants without Snowflake. We'll finish with what it takes to run this at scale and some other ways to solve the same problem.\n\n## TL;DR\n\n- For each tenant, create a **schema of secure views** filtered to that tenant, and build the tenant's own Cortex Search Service, semantic view, and agent on those views.\n- Wrap the tenant's schema in a **per-tenant database role**, and share it through a **per-tenant share and private listing**. Nothing from the multitenant schema is granted.\n- The Consumer sees **only their own schema** — not the multitenant tables, and not any other tenant.\n- Tenants without Snowflake can use a **Reader Account**, but the Provider pays for its compute.\n\n## Why Not Just Share the Agent?\n\nThe agent from the last post sits on top of the multitenant `ITEMS` and `ORDERS` tables, which hold sales data for all three restaurant chains: Alice's Restaurant, Bob's Place, and Charlie's Diner. Share that agent with Alice, and Alice can ask about Bob's sales.\n\nInside a single account, we'd [scope the session](https://medium.com/snowflake/dont-trust-the-llm-with-tenant-isolation-multitenant-cortex-agents-on-snowflake-51267ff08bb8) — a user, role, or session attribute per tenant — and let row access policies filter the data. Across accounts, that doesn't work the same way: the Consumer's users and roles belong to the Consumer, not to us. So the tenant boundary has to live in *what we share*, not in how a session is configured.\n\nThat's the idea behind this approach. As I described in [Snowflake Cortex and Multitenancy](https://medium.com/snowflake/snowflake-cortex-and-multitenancy-e6509fd1eb5f), the data can stay in multi-tenant tables, while what we *share* is an object-per-tenant layer on top of them.\n\n## The Approach: A Schema per Tenant\n\nFor each tenant, we create a schema in the same `MULTISALES_SHARING` database — `ALICE`, `BOB`, and `CHARLIE` — and fill it with secure views that select just that tenant's rows from the multitenant tables:\n\n```sql\n-- Alice\nCREATE SCHEMA IF NOT EXISTS alice;\nUSE SCHEMA alice;\n\n-- Data Views\nCREATE SECURE VIEW IF NOT EXISTS items AS SELECT * FROM data.items WHERE tenant = 'Alices Restaurant';\nCREATE SECURE VIEW IF NOT EXISTS orders AS SELECT * FROM data.orders WHERE tenant = 'Alices Restaurant';\n```\n\nWhy [secure views](https://docs.snowflake.com/en/user-guide/views-secure)? Two reasons. With a secure view, the view definition — including the filter and the names of the other tenants — isn't visible to the Consumer. And Snowflake doesn't apply the internal optimizations that, for a regular view, could indirectly expose rows the view is supposed to hide. Shares only allow secure objects by default, for exactly this reason.\n\nOn top of those views, we build the tenant's own Cortex Search Service, semantic view, and agent. They're the same definitions as before, just pointed at the tenant's views instead of the multitenant tables.\n\nThe Cortex Search Service is worth calling out. Cortex Search Services don't support row access policies, so we can't build one service over the multitenant table and filter it later. The search service itself has to be built on the tenant's data — which is what building it in the tenant's schema, over the tenant's `items` view, does.\n\nThe tenant's agent points at the tenant's semantic view and search service:\n\n```json\n\"semantic_view\" :\"MULTISALES_SHARING.ALICE.MULTISALES_SV\"\n...\n\"search_service\": \"MULTISALES_SHARING.ALICE.ITEMS_SEARCH\",\n```\n\nEverything Alice's agent touches is scoped to Alice, and all of it lives in the same database — which, as we saw last time, is what sharing an agent requires.\n\n## Provider Side: A Database Role, Share, and Listing per Tenant\n\n### The Tenant's Database Role\n\nEach tenant gets its own database role, with privileges on the objects in the tenant's schema — and nothing else:\n\n```sql\n-- Alice\nCREATE DATABASE ROLE IF NOT EXISTS multisales_sharing.alice_rl;\nGRANT USAGE ON DATABASE              multisales_sharing                        TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT USAGE ON SCHEMA                multisales_sharing.alice                  TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT SELECT ON VIEW                 multisales_sharing.alice.items            TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT SELECT ON VIEW                 multisales_sharing.alice.orders           TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT USAGE ON CORTEX SEARCH SERVICE multisales_sharing.alice.items_search     TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT REFERENCES ON SEMANTIC VIEW    multisales_sharing.alice.multisales_sv    TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT SELECT ON SEMANTIC VIEW        multisales_sharing.alice.multisales_sv    TO DATABASE ROLE multisales_sharing.alice_rl;\nGRANT USAGE ON AGENT                 multisales_sharing.alice.multisales_agent TO DATABASE ROLE multisales_sharing.alice_rl;\n```\n\nCompare this to the last post. The grants are on the tenant's secure views (`SELECT ON VIEW`), not on the tables. And notice what's missing: nothing in the `DATA` schema is granted — not the multitenant tables, and not the all-tenant agent. The database role *is* the tenant boundary.\n\n### The Tenant's Share and Listing\n\nEach tenant also gets its own share, with the tenant's database role granted to it:\n\n```sql\nUSE ROLE accountadmin;\n\nCREATE SHARE IF NOT EXISTS multisales_share_alice;\nGRANT USAGE ON DATABASE multisales_sharing TO SHARE multisales_share_alice;\nGRANT DATABASE ROLE multisales_sharing.alice_rl TO SHARE multisales_share_alice;\n```\n\nThat gives us three shares over one database, and the database role is what scopes each one to a single tenant.\n\nThen we publish the share as a private listing for the tenant's account:\n\n```sql\nUSE ROLE accountadmin;\n\nCREATE EXTERNAL LISTING multisales_listing_alice \n    SHARE multisales_share_alice\n    AS\n$$\ntitle: \"Multisales Listing Alice\"\ndescription: \"Sales agent that enables talk-to-your-data for sales data from franchises of Alices Restaurant.\"\nlisting_terms:\n   type: \"OFFLINE\"\nexternal_targets:\n   access:\n    - organization: \u003Corg\u003E\n      accounts: [ \u003Cacct\u003E ]\n$$\n    PUBLISH = FALSE\n    REVIEW = FALSE;\n\nALTER LISTING multisales_listing_alice PUBLISH;\n```\n\nPublishing, adding targets, and the terms work exactly as they did in the [last post](\u003Chttps://www.snowflake.com/en/developers/blog/sharing-cortex-agents/).\n\n## Consumer Side: What the Tenant Sees\n\nIn Alice's account, we get the listing just as before — `SHOW AVAILABLE LISTINGS IS_SHARED_WITH_ME=TRUE` to find its `global_name` — and create a database from it:\n\n```sql\nCREATE DATABASE multisales_alice FROM LISTING \u003Cglobal_name\u003E;\n```\n\nThis is where the approach pays off. The new database contains exactly two schemas: `INFORMATION_SCHEMA` and `ALICE`. There's no `DATA` schema, no `BOB`, and no `CHARLIE`. Everything Alice can see lives in her own schema:\n\n```sql\nSHOW VIEWS IN SCHEMA multisales_alice.alice;\nSHOW CORTEX SEARCH SERVICES IN SCHEMA multisales_alice.alice;\nSHOW SEMANTIC VIEWS IN SCHEMA multisales_alice.alice;\nSHOW AGENTS IN SCHEMA multisales_alice.alice;\n```\n\nTo let Alice's users use the agent, grant them the shared database role (and, as before, `SNOWFLAKE.CORTEX_USER`):\n\n```sql\nGRANT DATABASE ROLE multisales_alice.alice_rl TO ROLE \u003Crole\u003E;\n```\n\nNow we can ask the agent a question. Alice's users can do that in Snowsight or CoWork, but we can also call it straight from SQL with [`DATA_AGENT_RUN`](https://docs.snowflake.com/en/sql-reference/functions/data_agent_run-snowflake-cortex), passing the agent's name and a request body with the question:\n\n```sql\nSELECT TRY_PARSE_JSON(\n  SNOWFLAKE.CORTEX.DATA_AGENT_RUN(\n    'MULTISALES_ALICE.ALICE.MULTISALES_AGENT',\n    $${\n      \"messages\": [\n        {\n          \"role\": \"user\",\n          \"content\": [\n            { \"type\": \"text\", \"text\": \"List the available tenants and the number of store locations they have.\" }\n          ]\n        }\n      ]\n    }$$\n  )\n) AS resp;\n```\n\nThe response is JSON, with the agent's answer in the `text` element of its `content`:\n\n\u003E The data contains a single tenant, **Alices Restaurant**, which operates **4 stores**.\n\nAs far as Alice's agent is concerned, Bob's Place and Charlie's Diner don't exist.\n\nEverything else on the Consumer side works the same as in the [last post](https://www.snowflake.com/en/developers/blog/sharing-cortex-agents/): the agent runs on the user's default warehouse, it can be added to CoWork, and Alice can put her own MCP server in front of it, pointing at `MULTISALES_ALICE.ALICE.MULTISALES_AGENT`.\n\n## Tenants Without Snowflake: Reader Accounts\n\nNot every tenant has a Snowflake account. For those, the Provider can create a [Reader Account](https://docs.snowflake.com/en/user-guide/data-sharing-reader-create): a Snowflake account that the Provider creates, owns, and manages on the tenant's behalf. The tenant doesn't need to become a Snowflake customer.\n\nCreating one takes `ACCOUNTADMIN` (or a role with the `CREATE ACCOUNT` privilege) in the Provider account:\n\n```sql\nUSE ROLE accountadmin;\n\nCREATE MANAGED ACCOUNT reader_alice\n    ADMIN_NAME = \u003Cadmin\u003E , ADMIN_PASSWORD = '\u003Cadmin_password\u003E' ,\n    TYPE = READER;\n```\n\nThe output includes the new account's name, locator, and login URL. Then we add the reader account to Alice's listing as another target:\n\n```sql\nALTER LISTING multisales_listing_alice ADD TARGETS\n$$\nexternal_targets:\n  access:\n    - organization: \u003Corg\u003E\n      accounts: [ \u003Cacct\u003E ]\n$$;\n```\n\nFrom there, the reader account gets the listing exactly as above.\n\nA few things are different about Reader Accounts, and they're worth knowing before you hand one to a tenant:\n\n- **The Provider pays.** The Provider is responsible for all credits used by warehouses in the reader account — the opposite of a full Consumer account, which pays its own way. Without a resource monitor, those warehouses can consume an unlimited number of credits, so [set one up](https://docs.snowflake.com/en/user-guide/data-sharing-reader-config).\n- **It starts empty.** A new reader account has just its administrator. Before the tenant can use the agent, the administrator has to create users, create a warehouse (set to auto-suspend), create the database from the listing, and grant the database role and `USAGE` on the warehouse to the users' roles. Since the shared agent runs on the user's default warehouse, make that warehouse the users' default, too.\n- **Same region and edition.** A reader account is created in the same region, and with the same Snowflake edition, as the Provider account.\n- **There's a limit.** By default, a Provider can create up to 75 reader accounts.\n\n## Operating This at Scale\n\nOnce this works for one tenant, a few things matter as the number of tenants grows:\n\n- **Onboarding a tenant is a recipe.** Each new tenant needs a schema, secure views, a search service, a semantic view, an agent, a database role, a share, and a listing. That's very scriptable, and worth scripting.\n- **Grants aren't automatic.** A database role granted to a share [doesn't support future grants](https://docs.snowflake.com/en/sql-reference/sql/grant-database-role-share), and shared agents don't pick up new tools on their own. If you add an object or a tool, grant it to the tenant's database role explicitly.\n- **The filter is the boundary.** Tenant isolation lives in the `WHERE tenant = '…'` clause of each secure view. Treat those definitions like code: generate them, review them, and test them.\n- **Cross-region is expensive.** If a tenant's account is in another region, [Cross-Cloud Auto-Fulfillment](https://docs.snowflake.com/en/collaboration/provider-listings-auto-fulfillment) can deliver the listing. But for a share of secure views, it replicates the full underlying multitenant tables — not just that tenant's rows. With many tenants spread across regions, that adds up, and it's the main reason to consider one of the alternatives below.\n\n## Other Ways to Share Tenant Data\n\nSchema-per-tenant with secure views is one way to share a tenant's data from a multitenant data set — not the only one. The right choice depends on how many tenants you have, how many regions they're in, and how much replication you're willing to pay for. Some other options:\n\n1. **A Dynamic Table per tenant.** Copy each tenant's data into its own Dynamic Table and share that. This is good for cross-region sharing, since only that tenant's data gets replicated.\n2. **One multitenant table with a row access policy on `CURRENT_ACCOUNT()`.** An entitlement table maps each Consumer account to its tenant value, and the policy filters on it. It's simple and the same listing can be used with multiple Consumers, but cross-region replication copies the full data set to every region.\n3. **The same, with secure views instead of a row access policy.** Same idea, same caveats.\n4. **A Dynamic Table per destination region, plus a row access policy or secure views.** Each region gets a copy of just the tenants in that region, filtered with `CURRENT_ACCOUNT()` and an entitlement table. You need fewer Dynamic Tables than option 1, at the cost of a little more complexity, but you can use the same listing for all Consumers in the same destination region.\n\nOptions 2 through 4 rely on `CURRENT_ACCOUNT()`, which is what Snowflake [recommends](https://docs.snowflake.com/en/user-guide/views-secure) for authorizing rows in shared secure views — it's the one piece of the Consumer's context the Provider can reliably check.\n\n## Wrapping Up\n\nSharing a Cortex Agent across accounts doesn't have to mean sharing all of your data. With a schema of secure views per tenant, a per-tenant database role, and a per-tenant listing, each tenant gets an agent that can only see their own rows — and Snowflake, not the LLM, enforces the boundary.\n\nTo try it, run the notebook, publish Alice's listing to a second account (or a Reader Account), and ask the agent about the other restaurants — it won't know they exist. Then, if you have tenants in other regions, look at whether one of the alternatives fits better.\n\n[**Get the notebook on GitHub**](https://gist.github.com/sfc-gh-bhess/79e2581dd679201a83c8fcedd03ead5f)\n","title":"Quickstart Article Body","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"isDeveloperGuidesPage":true,"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-714d3502e3","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-57355217d6",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-87f5d6be19","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2026-11-04",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-2ef062ada1","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. It may be out of date with current Snowflake instances\u003C/span\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"}},":itemsOrder":["quickstart_last_modi","text"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-dde59490a3",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{},":itemsOrder":[]},":type":"snowflake-site/components/flexible-column-container","isActiveTOC":false,"isBlogPage":false}},":itemsOrder":["quickstart_hero","contentfragment","flexible_column_cont"]},"flexible_column_content_container_3":{"layout":"SIMPLE","id":"container-d7592ad345",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_table_of_":{"layout":"SIMPLE","id":"container-8a03d94bad","isDeveloperGuidesPage":true,":type":"snowflake-site/components/quickstart/quickstart-table-of-content/quickstart-table-of-content-container",":items":{"quickstart_table_of_":{"id":"quickstart-table-of-content-886be2a458","headings":["\u003Ch2\u003ETL;DR\u003C/h2\u003E","\u003Ch2\u003EWhy Not Just Share the Agent?\u003C/h2\u003E","\u003Ch2\u003EThe Approach: A Schema per Tenant\u003C/h2\u003E","\u003Ch2\u003EProvider Side: A Database Role, Share, and Listing per Tenant\u003C/h2\u003E","\u003Ch2\u003EConsumer Side: What the Tenant Sees\u003C/h2\u003E","\u003Ch2\u003ETenants Without Snowflake: Reader Accounts\u003C/h2\u003E","\u003Ch2\u003EOperating This at Scale\u003C/h2\u003E","\u003Ch2\u003EOther Ways to Share Tenant Data\u003C/h2\u003E","\u003Ch2\u003EWrapping 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Entertainment\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/financial-services/\"\u003EFinancial Services\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/healthcare-and-life-sciences/\"\u003EHealthcare & Life Sciences\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/manufacturing/\"\u003EManufacturing\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/public-sector/\"\u003EPublic Sector\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/retail-consumer-goods/\"\u003ERetail & Consumer Goods\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"/en/solutions/industries/telecom/\"\u003ETelecom\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca 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