aiqbench analysis
Snowflake's CoCo update adds long-running autonomous agents that execute code in a sandbox, run on schedules or webhooks, and act under the creating user's existing grants and policies, with an audit trail for each run. For AI readers, the substance is the governance model: agent permissions inherit from human roles, and every action is logged. Claims about productivity are vendor assertions, and independent evidence on reliability and oversight for unattended agents is still limited.
Snowflake CoCo: Autonomous Cloud Agents for Data Work

Hand off pipelines, migrations and apps to Snowflake CoCo Cloud Agents that keep working after you sign off, inside your governed data, roles and policies.
With the latest updates in Snowflake CoCo, teams can now hand off complex work to autonomous Cloud Agents that keep running even after users step away. Every session works with the organization's governed data, practices and tools, adhering to the controls already in place. And teams steer that work from wherever they are, across their workflows and devices. Data teams get more done, with the governance they already trust. Your work doesn't have to stop when you do. Cloud Agents are the Snowflake managed runtime behind CoCo in the Snowsight interface. They execute code in a secure sandbox and can now run long sessions on their own. CoCo…
Excerpt shown under the publisher's RSS terms · 108 words · full text and figures are on the publisher's site
Related coverage

Governed Context, Security and Spend Controls for AI Agents
Snowflake Blog · Nov 3, 2026
Snowflake expands agentic AI platform with business context and governance tools
SiliconANGLE · Nov 3, 2026

AI Agent Hacks Snowflake GitHub Workflow and Reaches Internal Jira
Cybersecurity News · Aug 20, 2026

Operate with confidence
Supabase · Oct 2, 2026