Topowatch tool measures AI coding assistant vulnerability to prompt injection

A new command-line tool called topowatch has been developed to measure the Attack Success Rate (ASR) of indirect prompt injection attacks against coding assistants. The tool is based on research from arXiv:2608.14876, which demonstrated that workspace topology significantly impacts ASR. Topowatch quantifies how much of a workspace an agent needs to read to be vulnerable, suggesting that modular workspace structures can reduce ASR by limiting the agent's read access. The current version (v0.1) uses a synthetic agent for reproducible testing, with future versions planned to test against real coding assistants. AI

IMPACT Provides a method to quantify and potentially mitigate security risks in AI coding assistants.

RANK_REASON The item describes a new software tool for measuring AI security vulnerabilities.

Read on dev.to — LLM tag →

• arXiv:2608.14876
• Claude Code
• Codex
• Pedro Sordo Martínez
• topowatch
• Workspace Topology as an Attack Vector in Agentic Coding Assistants

• product
• safety

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