Static JSON Schema Layer Proposed to Block AI Agent Prompt Injection Attacks

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A researcher has published a paper proposing a deterministic Intent Architecture to address security vulnerabilities in autonomous AI agent workflows. The core concern is indirect prompt injection, where attackers can hijack agent tool calls in ways that appear legitimate at the API and firewall level. Because LLM-based monitors are non-deterministic, they cannot reliably enforce strict security boundaries against such attacks. The proposed solution inserts a static JSON policy schema layer between an agent's reasoning and its tool execution, validating every proposed action before it runs. The research includes an open-source GitHub repository and an interactive Colab sandbox for community testing and feedback.

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ProgrammingDEV Community ·

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