Prompt injection experiments with OpenClaw and GPT-5.4.

This submission highlights ongoing research into prompt injection vulnerabilities within advanced LLM models like GPT-5.4. The 'BrokenClaw' series indicates a sustained effort to identify and exploit these weaknesses. For B2B SaaS, this research is critical. Enterprises integrating LLMs face significant security risks from prompt injection, which can lead to data exfiltration, unauthorized actions, or model manipulation. The continuous discovery of such vulnerabilities underscores the immaturity of LLM security and the urgent need for robust defensive mechanisms. Companies building on or deploying LLMs must prioritize security research and implement comprehensive guardrails to mitigate these evolving threats, impacting product development and risk management strategies.