Securing LLM-Powered Applications - Overcoming Security and Privacy Challenges

Explore the security and privacy challenges of LLM-powered applications in this 51-minute conference talk from Devoxx. Delve into common issues like prompt injection, key leakage, and misuse of private customer data for model training. Gain insights on legal restrictions and understand how general security vulnerabilities can impact LLM behavior and outcomes. Acquire a comprehensive overview of potential vulnerabilities, strategies for ensuring data privacy compliance, and best practices for developing secure applications that leverage Large Language Models. Learn to navigate the exciting possibilities of AI in applications while effectively mitigating associated risks.

Securing LLM-Powered Applications: Overcoming Security and Privacy Challenges by Brian Vermeer, Lize