A Practical Guide to Securing Your AI Application

Explore a comprehensive conference talk on securing AI applications in this 33-minute presentation from Conf42 LLMs 2024. Delve into the tipping point of generative AI, understand its foundation models, and learn why security should be integrated alongside AI development. Discover the concept of responsible AI and navigate through a generative AI security scoping matrix. Examine the project life cycle and data flows in generative AI applications, while considering the OWASP Top 10 for LLMs. Gain practical insights on controlling vulnerabilities, including strategies to combat prompt injection attacks, implement wrapper methods, and utilize the H3 (helpful, honest, harmless) approach. Learn techniques for limiting PII, creating guardrails, and evaluating AI systems with benchmarks. Explore observability practices and understand generative AI implementation across different layers. Conclude with valuable resources and a call to action for securing your AI applications effectively.