Building an LLM Vulnerability Scanner to Secure AI Applications

Building an LLM Vulnerability Scanner to Secure AI Applications

Discover how to build an LLM vulnerability scanner to enhance the security of AI applications in this conference talk from Conf42 LLMs 2024. Explore the potential risks associated with Large Language Models, including overreliance, model denial of service, training data poisoning, and prompt injection. Learn about self-hosted LLM setups and follow along as the speakers demonstrate the process of coding a CLI tool for vulnerability scanning. Gain valuable insights into LLM security and practical strategies for auditing and securing AI applications.