Skip to content
Trending storyDeveloping

AWS publishes guide to a daily dependency watcher built on AgentCore Web Search

1 article1 sourcesince Nov 10Last article

Overview

AISummary of 1 article

AWS Machine Learning Blog published a guide to building a daily dependency watcher for a security team as a LangGraph graph on the Amazon Bedrock AgentCore Web Search API. The watcher researches npm, PyPI, and container base images in parallel.

According to the post, the date window, source blocklist, and search budget are enforced in code, and findings are recorded so the same item is not reported twice.

AWS says Web Search and model calls are billed per use. The guide requires an AWS account in a Region that offers the Web Search API, and by default an account can send 10 requests per second in each Region.

Written by AI from the articles below · updated Nov 10, 7:06 PM ET

Check the sources:

Article timeline

The articles in this story. Times are ET.

Nov 10
  1. AWS Machine Learning BlogOfficial
    AWS explains how to build a daily dependency watcher with LangGraph and AgentCore search

    AIAWS published a guide to building a daily dependency watcher for a security team as a LangGraph graph on the Amazon Bedrock AgentCore Web Search API. The watch researches npm, PyPI, and container base images in parallel, with date window, source blocklist, and search budget enforced in code, and records findings to avoid repeat reports. Web Search and model calls are billed per use.

Heat Trend

Current comparable heat
7
Peak comparable heat
10Nov 10, 8:00 PM ET
Change in past 24 hours
–

The trend compares only continuously observed participants, so its scope may be smaller than the current heat total. Hover or tap for hourly heat; use arrow keys with a keyboard.