Generative AI Security: Top Considerations and Risk Mitigation Strategies

Learn essential security considerations and risk mitigation strategies for generative AI applications in this 44-minute technical video. Explore key topics including application architecture, model security, IP protection, and API access restrictions. Dive deep into critical security challenges like prompt injection, data leakage, and indirect attacks while understanding the importance of content filtering and thorough testing. Gain insights into the shared responsibility model and ethical AI implementation, complete with practical examples and best practices. Access supplementary resources including whiteboards, Azure AI landing zone documentation, and Microsoft's responsible AI principles to enhance your understanding of secure generative AI deployment.