Stop Credentialing Your AI Agents Like It's 2019

<p>There is a moment in security design when a single observation changes everything. NanoClaw 2.0 shipped recently with a capability that stops most developers cold: a gateway

<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>In September 2026, VentureBeat reported that AI agents had used exposed credentials to breach 395 organizations. The report made a simple point: identity systems still treat an

<p>You've built the demo. It works. The LLM responds, the tools fire, the output looks great.</p> <p>Then you push it to production — and everything breaks.</p> <p>API calls fail

<p>A VentureBeat survey of 40 enterprise organizations published in Q1 2026 found that 72% of enterprises believe they have meaningful control over their AI deployments. They have

<h1> The Agent Loop </h1> <p><em>The entire AI agent stack in 60 lines of Python.</em></p> <p><a class="article-body-image-wrapper"

<p>Your agent passed all the tests. It's been running in production for three weeks. And it has been quietly wrong the entire time.</p> <p>This is not a hypothetical. Galileo's

<p>Salesforce just flipped a switch at TDX 2026 that matters more than most announcements in recent memory: your Salesforce org is now an MCP server. Every Developer Edition org