Search results for Horizon Context
AI & Enterprise
AWS launches knowledge graph services for AI agents, joins context intelligence race
Amazon Web Services has announced three new services positioned as a context intelligence stack for AI agents. The core is AWS Context, which automatically builds knowledge graphs from existing data and learns agent usage patterns to improve itself. It combines semantic search and graph-level reasoning to identify relationships between tables, column meaning and source reliability, and deliver needed information when agents run tasks. Queries can be tracked by identity.
AI & Enterprise
Automation, collaboration lower AI governance barriers
As enterprises expand AI adoption, control and management are emerging as major issues, with growing agreement that AI will struggle to take root without proper oversight. At the same time, overly strict controls can burden user experience and make AI harder to use, raising calls for practical governance. Snowflake is accelerating efforts to balance data governance and AI use, unveiling new sharing features and updates to its Horizon Catalog platform.
AI & Enterprise
Snowflake upgrades Horizon Catalog, integrating governance, business context and security
Snowflake said on June 2 it updated its Horizon Catalog data governance platform, focusing on integrating AI agent governance, data contextualisation and security. The company highlighted Horizon Context, designed to unify business logic across an enterprise so tools, teams and AI agents operate on the same data definitions. Snowflake also strengthened security features, including agent identity verification, monitoring via a Trust Center, and added protections against jailbreak attempts and zero-day vulnerabilities. It also introduced Adaptive Compute to optimise resources for AI workloads.
