Context intelligence for your data and AI agents at scale
TL;DR
AWS used its New York Summit to announce AWS Context, a coming service that maps relationships across data lakes, warehouses, databases, streams, and internal knowledge into a managed knowledge graph. Agents are meant to query that graph at runtime through agentic search and MCP. Access is tied to IAM and Lake Formation permissions, so queries can be governed and audited.
Nauti's Take
AWS is not just sprinkling glitter on another data catalog here. It is pitching the missing operating layer for enterprise agents.
If you build production agents, context, permissions, and auditability have to move together. Otherwise retrieval turns into a compliance risk with a polished demo UI.
Briefingshow
AWS is moving agents from prompt demos into the messy reality of enterprise data: who can see what, which table means what, and which join is actually valid. If the context layer works, agents should guess less and lean more on governed business logic. The catch: much of this sits deep inside the AWS stack, and the key piece, AWS Context, is not available yet.
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