AI security monitoring at scale: one LLM call, every dashboard

<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>OpenAIの請求書には、先月4,237ドル使ったと書かれています。しかし、そのうち3,100ドルは暴走した要約エンドポイントから、700ドルは月に50ドル支払っている顧客から、437ドルは誰も使わない機能から発生したことは書かれていません。ダッシュボードでは、価格設定、キャパシティ、ロードマップの判断に必要な情報が隠れています。</p> <p><a

<p>Your API returns 200 OK. Great. But is it actually <em>working</em>?</p> <p>I learned this the hard way. Last month, our payment webhook was "up" — returning 200s all day — but

<h2> The risk in one paragraph </h2> <p>Every time your team deploys software to AWS, a pipeline authenticates with credentials that can modify production infrastructure. In most

<p>On April 25, a Cursor-based agent running Claude Opus 4.6 destroyed PocketOS's production database and backups within nine seconds through one API call, eliminating three

<!-- SC_OFF --><div class="md"><p><strong>Submitted by:</strong> Adam Kruger <strong>Date:</strong> March 23, 2026 <strong>Models Solved:</strong> 3/3 (M1, M2, M3) + Warmup</p>

<p>If you've ever set up <a href="https://netdata.cloud" rel="noopener noreferrer">Netdata</a>, you know that feeling — hundreds of real-time charts, per-second granularity,