{"slug": "snowflake-launches-ai-agent-governance-layer-to-track-activity-control-costs", "title": "Snowflake launches AI agent governance layer to track activity, control costs", "summary": "Snowflake has unveiled Cortex AI Gateway, a runtime control plane designed to help organizations track AI agent actions, enforce policies, and manage spending across models and tools. Built on technology acquired from Natoma in May, the gateway applies governance policies defined in Horizon Catalog while routing requests and controlling costs for first- and third-party AI agents, according to Artin Avanes, head of core data platform at Snowflake. Analysts say the offering addresses a governance gap as enterprises scale agentic deployments, combining FinOps and governance in one control plane, and is slated to enter public preview soon.", "body_md": "As enterprises grapple with governing growing fleets of AI agents, Snowflake has unveiled Cortex AI Gateway, a new runtime control plane designed to help organizations track agent actions, enforce policies, and manage AI spending across models and tools.\n\nBuilt on technology [acquired through the purchase of Natoma](https://www.cio.com/article/4178160/snowflake-to-acquire-mcp-focused-natoma-to-boost-governance-for-ai-agents.html) earlier in May, Cortex AI Gateway “acts as an execution layer” that applies governance policies defined in Horizon Catalog while routing requests and enforcing cost controls across first- and third-party AI agents in an enterprise, said [Artin Avanes](https://www.snowflake.com/en/blog/authors/artin-avanes/), head of core data platform at Snowflake.\n\n“Its role is to provide a trusted control plane that governs how AI agents securely access models, tools, MCP servers, enterprise systems, and data across increasingly diverse AI environments as enterprises adopt more models and agents for their applications and workflows,” Avanes added.\n\nThat control plane, according to analysts, could help enterprises address “a real gap” as they scale agentic deployments.\n\n“Most enterprises cannot see or govern agent activity consistently across models, tools, MCP servers, and enterprise systems, as most AI gateways just route models and log prompts,” said [Michael Leone](https://moorinsightsstrategy.com/team/mike-leone/), principal analyst, Moor Insights and Strategy.\n\n“Enterprises need to know which agent acted, who authorized it, what resources it used, and what happened at each step. Without that runtime evidence, firms cannot reliably secure, audit, or contain agentic workflows,” echoed [Stephanie Walter](https://www.linkedin.com/in/slwalter), practice lead of AI stack at HyperFRAME Research.\n\nThe new offering, according to Leone, should also help CIOs reduce the burden of governance operations as agents scale.\n\nThe key is embedding AI agent governance, including related [FinOps](https://www.cio.com/article/416337/what-is-finops-your-guide-to-cloud-cost-management.html), where enterprise data is already governed, instead of creating another management layer, which is what Cortex AI Gateway does, Leone said.\n\nThat attempt to combine FinOps and governance within one control plane is likely to be seen as a “logical” move by CIOs, as each of these functions requires “much of the same” shared data and traceability logs to accomplish their respective goals, said [Scott Bickley](https://www.infotech.com/profiles/scott-bickley), advisory fellow at Info-Tech Research Group.\n\nMore so because model and agent providers have been shifting toward consumption-based pricing, making it harder for CIOs to understand who is using AI resources, how much they cost, and whether spending remains within policy, Bickley pointed out.\n\nFor developers, though, the new offering can cut both ways.\n\nIf implemented well, the Gateway should simplify development by simplifying tedious tasks and consolidating separate provider credentials, provisioning of logging frameworks, cost and usage instrumentation, and access control mechanisms with one application layer, Bickley said.\n\nOtherwise, it could become a bottleneck with developers being forced to use multiple gateway products, resulting in development delays, Bickley added.\n\nThe offering is slated to enter public preview soon.", "url": "https://wpnews.pro/news/snowflake-launches-ai-agent-governance-layer-to-track-activity-control-costs", "canonical_source": "https://www.cio.com/article/4202795/snowflake-launches-ai-agent-governance-layer-to-track-activity-control-costs.html", "published_at": "2026-07-29 11:11:54+00:00", "updated_at": "2026-07-29 11:13:26.682037+00:00", "lang": "en", "topics": ["ai-agents", "ai-infrastructure", "ai-policy"], "entities": ["Snowflake", "Cortex AI Gateway", "Natoma", "Artin Avanes", "Michael Leone", "Stephanie Walter", "Scott Bickley", "Moor Insights and Strategy"], "alternates": {"html": "https://wpnews.pro/news/snowflake-launches-ai-agent-governance-layer-to-track-activity-control-costs", "markdown": "https://wpnews.pro/news/snowflake-launches-ai-agent-governance-layer-to-track-activity-control-costs.md", "text": "https://wpnews.pro/news/snowflake-launches-ai-agent-governance-layer-to-track-activity-control-costs.txt", "jsonld": "https://wpnews.pro/news/snowflake-launches-ai-agent-governance-layer-to-track-activity-control-costs.jsonld"}}