Show HN: ModelFuzz – Open-source runtime guardrails for AI agents
The Threat Prompt injection turns your agent's own tools against you. A single poisoned document, email, or web page can hijack an LLM through indirect prompt injection, compromising LLM agent security at the source. It isn't. !shell.run — arbitrary command execution on your infrastructure. !http.post — silent exfiltration of secrets to an attacker's server. !send_email — API keys and customer data leaked to [email protected]. !Prompt-level filters can't guarantee safety.
- ▪The Threat Prompt injection turns your agent's own tools against you.
- ▪A single poisoned document, email, or web page can hijack an LLM through indirect prompt injection, compromising LLM agent security at the source.
- ▪It isn't. !shell.run — arbitrary command execution on your infrastructure. !http.post — silent exfiltration of secrets to an attacker's server. !send_email — API keys and customer data leaked to [email protected]. !Prompt-level filters can'
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The Threat Prompt injection turns your agent's own tools against you. A single poisoned document, email, or web page can hijack an LLM through indirect prompt injection, compromising LLM agent security at the source. The model thinks it's helping. It isn't. !shell.run — arbitrary command execution on your infrastructure. !http.post — silent exfiltration of secrets to an attacker's server. !send_email — API keys and customer data leaked to [email protected]. !Prompt-level filters can't guarantee safety. Model behavior is non-deterministic. Offense & Defense Find the holes. Then seal them. ModelFuzz ships with both halves of the security loop — a red-team scanner to expose vulnerable agents, and a decorator to shield them.
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