Question 1

What is a prompt injection attack and why is it dangerous for LLM deployments?

Accepted Answer

A prompt injection attack uses malicious user input to override the LLM’s original intent, leading to unintended actions such as generating inappropriate content, leaking sensitive information, or executing harmful code.

Question 2

Why do traditional prompt injection defenses struggle against adaptive adversarial prompts?

Accepted Answer

Static filtering and rule-based approaches often fail to keep up with the creativity and adaptiveness of adversarial prompts, making defense coverage incomplete.

Question 3

How does PRISM evaluate LLM robustness against malicious prompts at scale?

Accepted Answer

PRISM uses Hadoop MapReduce for distributed processing and Ollama for flexible LLM inference to automatically generate and assess outputs across thousands of prompt variations and temperature settings.