Viewing profile — ShawnC21

Most AI agents let the LLM run shell/API/fs with host privileges. Prompt injection = instant RCE. ClawZero adds a deterministic execution boundary between model output and tool exe…

The prompt injection risk CNCERT is describing is structural.. it's not specific to OpenClaw. Any agent runtime where model output can reach privileged tools without an enforcement…

I'm Building MVAR: It's a deterministic execution firewall for LLM agents. The core idea: prompt injection becomes dangerous only when model output can trigger privileged execution…

One clarification: MVAR is not a prompt filter and not a model judge. The enforcement happens at the execution boundary. If model output reaches a critical sink (shell, filesystem,…

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Author here. MVAR is an IFC-based reference monitor for AI agent runtimes. Rather than attempting to detect prompt injection at the model layer, it enforces deterministic policy at…

Prompt injection is primarily a control problem, not just a filtering problem. Modern AI agents operate with authority — executing tools, accessing credentials, and interacting wit…