Build a Basic AI Agent From Scratch: Security II

<h1> Container Security Guide </h1> <blockquote> <p>A comprehensive approach to securing containers from build to runtime.</p> </blockquote> <p><em>Datanest Digital —

<h2> From Demo Code to a Reusable Package </h2> <p>Article 19 used a 900-line <code>harness_full_demo.py</code> to demonstrate eight defense layers. That file is good for

<p>Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand

<p>Docker published the second entry in its Coding Agent Horror Stories series on July 20, and the operational read is short: on a stock developer laptop, an AI coding agent runs

<p>Ask a coding agent to run a build, and you have just handed a language model the ability to <code>cat ~/.ssh/id_rsa</code>. Prompt-level instructions like "do not read

<h2> Introduction </h2> <p>AI coding assistants like GitHub Copilot, Cursor, Codeium, and Amazon CodeWhisperer now power a significant portion of modern software development and

<h1> Securing AI Agent Workflows: Preventing Identity Collapse in Multi-Step Chains </h1> <p>When engineering autonomous AI agents, the transition from local development to

<p>Modern AI agents are no longer just generating text—they are expected to <strong>write files, modify code, and execute commands</strong>.<br /> But doing this directly on your