{"slug": "snowflakes-horizon-context-aims-to-give-ai-agents-a-common-understanding-of-the", "title": "Snowflake’s Horizon Context aims to give AI agents a common understanding of the business", "summary": "Snowflake unveiled Horizon Context, a new set of semantic and metadata-management capabilities now in preview, at its annual Snowflake Summit conference on Tuesday. The offering, part of the Horizon Catalog governance suite, collects metadata from across an enterprise’s data estate and enriches it with business definitions and lineage to provide a common understanding for AI agents and analytics systems. The move aims to address the fragmentation of data context that has caused inconsistencies in business metrics and AI outputs across enterprises.", "body_md": "As enterprises move from AI experimentation to production deployments, one challenge is becoming increasingly apparent: AI systems are only as reliable as the business context they operate in.\n\nSnowflake is attempting to address that problem with Horizon Context, a new set of semantic and metadata-management capabilities, currently in preview, that it unveiled Tuesday at its annual Snowflake Summit conference.\n\n[Artin Avanes](https://www.snowflake.com/en/blog/authors/artin-avanes/), head of core data platform at Snowflake, said that the offering, launched as part of [Horizon Catalog](https://www.infoworld.com/article/2337336/snowflake-updates-its-horizon-governance-suite.html), the company’s existing data discovery, management and governance suite, collects metadata from across an enterprise’s data estate, enriches it with business definitions, relationships, lineage, and governance information, and makes that context available across AI and analytics systems.\n\nThese capabilities, according to Avanes, build on [Snowflake’s acquisition last year of Select Star](https://www.infoworld.com/article/4095809/snowflake-to-acquire-select-star-to-enhance-its-horizon-catalog.html), a metadata management startup known for its integrations with database systems such as [PostgreSQL](https://www.infoworld.com/article/4062619/the-best-new-features-in-postgres-18.html) and [MySQL](https://www.infoworld.com/article/3982439/mysql-at-30-still-important-but-no-longer-king.html), business intelligence tools like Tableau and Power BI, and data pipeline/orchestration tools such as dbt and Airflow.\n\nFor CIOs, Horizon Context should reduce operational complexity because it will provide a governed map of their organization’s data estate, said [Stephanie Walter](https://www.linkedin.com/in/slwalter), practice lead of the AI Stack at HyperFRAME Research.\n\n“The value is not simply cataloging where data lives; it is giving AI systems the metadata, lineage, permissions, and business context needed to retrieve the right data safely,” Walter said.\n\nIn fact, according to [Robert Kramer](https://www.linkedin.com/in/robert-kramer-58239b22), managing partner at KramerERP, the challenge of missing context for analytics and reporting is not new for enterprises.\n\n“Most enterprises were stitching together catalogs, BI semantic layers, governance tools, lineage, access controls, dbt models, security policies, and custom integrations. The issue was not that these pieces did not exist. The issue was that they were fragmented,” he said.\n\nThat duct-taping together of different pieces, said [Mike Leone](https://moorinsightsstrategy.com/team/mike-leone/), principal analyst at Moor Insights & Strategy, is the actual reason why most teams in an enterprise would end up with slightly different versions of a business metric, such as monthly active users, resulting in AI agents also being inconsistent downstream.\n\nBut, said Walter, the stitching together of different catalogs and semantic layers only works for semi-autonomous workflows. “What changed with AI agents is that those systems increasingly need access to context at runtime rather than through documentation and human interpretation,” she said. “Snowflake is trying to pull those pieces closer to the data platform, so context, semantics, access control, and execution are part of the same operating environment”\n\nTo supplement Horizon Context, Snowflake is also adding Semantic Studio, currently in private preview, to help enterprises reduce the effort required to build and maintain business context for agents and agentic workflows.\n\n“Semantic Studio is a core part of the Enrich layer of Horizon Context, providing the AI-assisted workspace where teams define, test, and publish that business logic,” Avanes said.\n\nThe Enrich layer itself, which consists of companion capabilities like the Semantic View Autopilot, automatically layers intelligence on data assets, providing insights such as which assets are most trusted, how they connect, what they mean, and how to correctly calculate metrics, Avanes added.\n\nAccording to Leone, Semantic Studio solves a critical challenge: “It will reduce the burden of SQL-savvy data engineers and let business owners author the shared definitions. That’s where most semantic-layer projects die today.”\n\nFor Walter though, there is still a caveat to these offerings.\n\n“While these offerings reduce complexity, they do not remove the work. Someone still has to decide which metrics are authoritative, which data products are trusted, and who owns the business definitions,” she said.\n\nAlongside these updates, Snowflake is also trying to address security concerns around agentic workflows with new capabilities inside Horizon Catalog’s Trust Center.\n\nThese capabilities, which are focused on [AI Security Posture Management (SPM)](https://www.csoonline.com/article/3518733/ai-spm-buyers-guide-artificial-intelligence-security-posture-management-tools-compared.html), include a new agent identity capability that enables enterprises to distinguish between human activity within a session and actions taken by an AI agent operating on a user’s behalf, Avanes said.\n\n“This should provide greater transparency and auditability for agents, while also enabling enterprises to apply existing data access controls, such as dynamic masking and row access policies, on an agent-by-agent basis,” he said.\n\nAnother new capability, data exfiltration policies, currently in private preview, will help enterprises prevent unauthorized movement of sensitive data. These policies are part of Horizon Catalog’s broader governance framework, and will allow enterprises to define controls around how data can be accessed, shared, and moved across systems, Avanes said.\n\nFor enterprises, Walter noted, these capabilities could help address one of the biggest barriers to deploying AI agents in production: governance.\n\n“Data exfiltration controls, AI Security Posture Management, and other centralized AI controls help CIOs move from experimentation to production by giving security teams a way to see and govern how AI workloads interact with enterprise data,” she said.\n\nEchoing Walter, Leone pointed out that the “security story” is the gating issue for almost every agent deployment that Moor Insights & Strategy is currently tracking.\n\n“Features such as data exfiltration policies and AI SPM are what convert a CISO from a ‘no’ to a ‘yes’ on moving an agent deployment into production,” he added.\n\n*This article originally appeared on CIO.com.*", "url": "https://wpnews.pro/news/snowflakes-horizon-context-aims-to-give-ai-agents-a-common-understanding-of-the", "canonical_source": "https://www.infoworld.com/article/4180187/snowflakes-horizon-context-aims-to-give-ai-agents-a-common-understanding-of-the-business-2.html", "published_at": "2026-06-02 18:06:55+00:00", "updated_at": "2026-06-03 09:26:31.323442+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-agents", "ai-infrastructure", "ai-tools"], "entities": ["Snowflake", "Horizon Context", "Artin Avanes", "Horizon Catalog", "Select Star", "PostgreSQL", "MySQL", "Snowflake Summit"], "alternates": {"html": "https://wpnews.pro/news/snowflakes-horizon-context-aims-to-give-ai-agents-a-common-understanding-of-the", "markdown": "https://wpnews.pro/news/snowflakes-horizon-context-aims-to-give-ai-agents-a-common-understanding-of-the.md", "text": "https://wpnews.pro/news/snowflakes-horizon-context-aims-to-give-ai-agents-a-common-understanding-of-the.txt", "jsonld": "https://wpnews.pro/news/snowflakes-horizon-context-aims-to-give-ai-agents-a-common-understanding-of-the.jsonld"}}