Over six weeks I rebuilt a 30-year-old poetry site with an AI coding partner and logged every security issue it produced: 59 of them, from a one-line config change that took the whole site down to a 90-minute triple credential leak. Two became actual incidents; a control caught all 59. Here is the pattern behind them, Self-Attested Safety, and the controls that caught every one.
Three major AI agent frameworks shipped the same architectural flaw in fourteen months: a filter API that resolves caller-supplied strings through the host language’s runtime. If your team treats vector store query interfaces as infrastructure rather than injection surfaces, this design pattern analysis explains what your threat model is missing.
Analysis of a maximum-severity remote code execution vulnerability (no CVE assigned as of February 10, 2026) in Claude Desktop Extensions discovered through LLM-driven tool chaining research, demonstrating architectural failure in AI agent trust boundaries Table of Contents Problem Framing: The Autonomous Tool Chaining Trust Boundary Failure Defining System Boundaries and Architectural Invariants Separating Threat Models … Read more
