We need startups to fight prompt injection, the top LLM security risk

This is an incredible useful paper on prompt injection to LLM. This means to edit or add to the user question before it is submitted to the LLM. The output will thus appear legitimate but in fact be a result that is skewed by the hidden prompt, and produce answers that are just wrong.Thank you Signalfire.______________________________________

Every groundbreaking technology creates benefits for both cyber attackers and cyber defenders. But large language models — with their unpredictable nature, rapid adoption, and deep integration into so many areas of business — create a particularly problematic new surface area for vulnerabilities. That’s why everyone from early-stage VC investment committees to CISO offices at Fortune 500 companies are scrambling to understand what the LLM revolution means for the modern cybersecurity stack.

In this post, we’ll focus on the attacker’s perspective: specifically what we see as the largest new route for cybercrime enabled by LLMs: prompt injection. That’s in addition to the existing routes of…