Context intelligence for your data and AI agents at scale
TL;DR
AWS announced AWS Context as a coming service layer that maps relationships across data sources into a knowledge graph and gives agents agentic search over rules, definitions, and domain knowledge. Access is meant to be identity-aware: IAM and Lake Formation permissions decide which relationships an agent can see, with audit trails for security and compliance teams.
Nauti's Take
This is a strong direction, but very AWS-flavored: big architecture, many product names, plenty of trust in the platform. For teams with a solid data catalog, AWS Context could matter because agents finally see the same definitions and permissions humans rely on.
For messy data estates, it will not magically fix the core problem. Without clear owners, definitions, and usage rules, it mostly gives the chaos a more elegant interface.
Briefingshow
AWS is pitching the missing infrastructure layer for enterprise agents: less prompt patchwork, more governed data context. If it works, agents can reason over tables, business rules, join logic, definitions, and access limits instead of guessing from schemas. The catch: several parts are preview or coming soon, so this is still more roadmap than production proof.
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