ServiceNow Anchors Autonomous AI to a Governed, Real-Time Data Foundation

At Knowledge 2026, ServiceNow announced a coordinated set of data capabilities aimed at making autonomous AI operationally viable inside enterprise workflows. Context Engine maintains a continuously updated graph of people, roles, assets, services, policies, and operational history, and feeds that context into every AI decision on the platform. Autonomous Data Analytics, built on the Pyramid Analytics acquisition, and deepening existing capabilities in Platform Analytics, lets any user or agent query the enterprise data estate in natural language, with always-on AI analysts that surface insights and trigger remediation. Autonomous Data Governance (available in the second-half of 2026) will add data quality, observability, enrichment, harmonization, and policy management on top of the Data Catalog. ServiceNow Data Catalog, built on the acquisition of data.world, adds automated discovery, lineage, and a federated business glossary, and elevates curated data products as governed, reusable units for agents and workflows. RaptorDB Pro adds Live Connect, Live Perform, and Live Archive, plus native graph and time-series support. The Workflow Data Network expands across data quality, observability, MDM, security, and data integration partners through Partner Passport (IBM and Boomi at launch). The new MCP Registry brings a private enterprise Model Context Protocol registry to address agent governance. Deloitte, Siemens, McKinsey, Lenovo, Adobe, and Amadeus are named as early adopters.