ToolsThe story, in brief

AWS says AI agents lack business context and security, launches two services to patch the gaps

AWS just shipped two fixes for the biggest agent problem: fast code that breaks. Meet Continuum and Context.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

AWS is addressing a critical deployment gap in AI agents—code generation speed without business logic or security. Two new services target the enterprise friction points blocking agent adoption at scale.

The key facts

5 to know
  1. AWS launched Continuum for automated vulnerability detection and remediation

  2. AWS launched Context service to build knowledge graphs from corporate data

  3. Both services designed to improve AI agent reliability in code generation

  4. Announcement made at AWS summit in New York

  5. Core problem identified: agents write code fast but lack business context and security controls

Go to the source

The Decoderthe-decoder.com

Publisher excerpt: At its summit in New York, AWS unveiled two new services. Continuum automatically detects, prioritizes, and fixes code vulnerabilities. Context builds a knowledge graph from corporate data to give AI agents the business context they need. Both tackle the same problem: agents that write code fast…
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